AI Engineering Jobs

We're looking for experienced generalist engineers to help build the core infrastructure of our agent platform. You'll work on designing and implementing scalable systems for agent deployment, monitoring, and management.

You'll collaborate with a small team of talented engineers to solve complex problems in distributed systems, real-time monitoring, and AI integration. We value engineers who can work across the stack and have a passion for the technologies we use.

The AI Engineer community is growing fast. Really fast. 400% in two years. 10,000+ attendees projected by 2030. Vendor-neutral, globally recognised, and just getting started.

To keep that trajectory, we need a world-class Growth Marketing Manager — someone who lives and breathes digital channels, knows how to turn speaker announcements into ticket sales, and treats a marketing calendar like a competitive sport.

This is a full-stack marketing role. Campaigns. LinkedIn. YouTube. Newsletters. Speaker amplification. Sponsor materials. The whole thing — for the most exciting audience in tech.

You're the right person if: You've marketed to developers or technical communities before. You obsess over what actually converts, not just what looks good. You can juggle platforms, partners, and deadlines without breaking a sweat. AI tools are already part of how you work, not a nice-to-have.

Requirements: 6+ years in marketing. Tech, events, and developer ecosystems. Startup experience a must. This is HARD work. Real ownership. Real impact. Remote-first (USA).

We're hiring a passionate, driven, AI-obsessed Community Manager at AI Engineer! 400% growth in two years. 10,000+ attendees projected by 2030. The biggest vendor-neutral event in AI.

You'll be building the whole thing — global meetup programs, ambassador network, education hub, associate program, 360 community support — as well as strengthening our large-scale events with community-first activations. And you'll be doing it for an audience of the most talented AI engineers on the planet.

You'll thrive here if you: Use AI tools every day. Know the difference between building an audience and building a community. Can run 10 projects at once without dropping anything. Get genuinely excited about making developers feel like they belong somewhere.

Requirements: 5+ years in community, events, and developer programs. Remote-first (USA). Real ownership, real reward, and real impact.

Airbyte is the open-source standard for data movement, now building frontier agentic data infrastructure purpose-built for AI agents. Work primarily in Python across CDKs, Connector Builder ecosystem, automation frameworks, and AI-driven operational tooling.

Build systems that use AI to detect, diagnose, and remediate connector failures. Drive initiatives focused on self-healing infrastructure, intelligent retries, and automated compatibility fixes.

Airbyte is the open-source standard for data movement, now building frontier agentic data infrastructure purpose-built for AI agents. You'll be a Software Engineer on the Data Replication team — a full-stack product team running over 3 million sync jobs a week across multiple regions and clouds.

Airbyte is the open-source standard for data movement, now building frontier agentic data infrastructure purpose-built for AI agents. You'll be the infrastructure and reliability engineer on the Data Replication team, building and maintaining infrastructure, setting reliability standards, and driving down incidents.

The Amazon AGI SF Lab is developing foundational capabilities for useful AI agents that can take actions in the digital and physical worlds. Work closely with research teams to design, build, and maintain systems for training and evaluating state-of-the-art agent models.

Develop training infrastructure for large-scale reinforcement learning on LLMs, work across the entire technology stack, and conduct MLSys research. Requires PhD or Master's with 3+ years of applied research experience.

Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. Lead efforts to improve the multi-modal perception and reasoning abilities of AI agents in an applied research role.

Responsibilities include model training, dataset design, and pre- and post-training optimization. Requires 5+ years building ML models, PhD or Master's in CS, and experience with deep learning tools like PyTorch and JAX.

The Amazon AGI Autonomy Lab is focused on developing foundational capabilities for useful AI agents. Build and lead a team advancing Amazon Nova, our state-of-the-art foundation model, bridging research with real-world impact.

Requires 2+ years leading AI/ML research teams with 5+ direct reports, advanced proficiency in Python and ML frameworks, and hands-on experience scaling foundational models.

Ampersand is hiring our first Founding Marketer — someone who’s equal parts technical tinkerer, empathetic storyteller, and relentless shipper. You’ll work directly with our founding team to help 1000x our usage chart and bring Ampersand to every AI developer building customer-facing products.

We’re building the integration platform for an agentic world: real-time, enterprise-grade sync infrastructure that lets AI developers connect to customer systems like Salesforce, DealCloud, or Snowflake — without becoming an integration company.

If you’re a product-minded generalist who enjoys hopping across the stack, a dev tools enthusiast that loves talking to customers, and a builder who ships quality code quickly, this is the role for you. In return, you’ll get outsized scope, a front-row seat to shaping the connectivity layer for AI, and meaningful equity at the ground floor.

If you’re an AI enthusiast who loves playing with cutting-edge tech, a product-minded generalist who enjoys hopping across the stack, and a builder who ships quality code quickly this is the role for you. In return, you’ll get outsized scope, a front-row seat to shaping the connectivity layer for AI, and meaningful equity at the ground floor.

We're hiring a Forward Deployed Engineer to work directly inside customer environments, implementing and extending Ampersand in a way that makes each deployment succeed and teaches us something we can build on.

This role is part engineer, part technical advisor, part trusted partner. You'll work closely with strategic customers from kickoff through delivery, write production code when the work calls for it, and bring what you learn back to the core product and engineering team.

We're hiring a Founding PM to take over a product layer that's been founder-owned until now. You'll work alongside the CTO, a founding engineering team, and in close contact with customers to define what gets built, why, and when.

This role requires genuine technical fluency, strong customer instincts, and the ability to operate with minimal structure.

We're hiring a Sales Engineer to be the technical core of a GTM team that sells a complex, infrastructure-level product to buyers who know exactly what they're evaluating.

The buyers are engineers, CTOs, and product leaders. Demos are technical. Evaluations go deep. You'll partner closely with Account Executives to move deals forward, owning the technical side of the sales process from discovery through proof-of-concept and close.

We're hiring a Founding Design Engineer to shape the user experience of a platform used by some of the most technically sophisticated teams in software and AI.

This is a foundational role. You'll work closely with the founders, engineers, and customers to design experiences for complex, developer-facing workflows — and help establish the design standards the product will be built on from here.

We're hiring a Founding DevRel to build Ampersand's presence in the developer community — through content, education, and genuine engagement with the people building on the platform.

This is a technical role as much as it is a community role. You'll create tutorials, speak at events, engage in the communities where developers are already talking, and serve as a direct feedback loop between the developer ecosystem and the product team.

We're hiring a Product Engineer to work on the core platform that powers Ampersand's integration infrastructure.

You'll work closely with the founders, engineers, and customers to build the systems that power complex, developer-facing workflows.

We're hiring a Customer Engineer to serve as the technical backbone of our customer relationships, from first implementation through long-term success.

You'll work directly with technical customers to design and deploy solutions, solve complex integration challenges, and make sure they get real value from the platform.

We're looking for a Founding Engineering Manager to join a fast-growing AI infrastructure company at a pivotal moment. You'll work directly with the founders and a small, high-retention engineering team.

This is a hands-on role. You'll be close to the technical work, close to the people doing it, and close to the decisions that shape how the team grows.

We’re looking for a Head of Brand to define and amplify Apify's voice in the global market and make Apify a distinctive brand. We need someone who can craft a compelling brand narrative that resonates with developers, enterprise leaders, and the broader AI ecosystem. You will be the architect of how the world perceives Apify. You will drive our presence at global events, shape our social media voice, and launch campaigns that make Apify synonymous with the future of web data.

We're looking for a fully-remote Developer Community Specialist (Europe/Asia) to support Apify's global developer community. You'll be the touchpoint for community members in Apify-managed spaces online - from Discord to Reddit, and beyond. A part of Apify's globally-distributed Developer Relations and Community team, you will collaborate with colleagues across the world to help thousands of builders get more out of the Apify platform.

The Opportunity As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone.

The Team Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.

As an AI Solutions Manager, your work will directly contribute to our customers’ success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our customers. You’ll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies.

About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.

We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.

About the role We’re looking for a Technical Product Marketing Manager to own competitive intelligence and sales enablement in an AI-native workflow. This role is focused on transforming competitive noise into clear, actionable insight that directly impacts live deals.

About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.

We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.

The Opportunity: We're looking for a driven Enterprise Expansion Account Executive to own and grow revenue within Arize's existing customer base. You'll work with AI engineers, Data Scientists, and platform teams who are already using our Enterprise platform - helping them unlock more value, expand into new teams, and deepen their investment as their AI initiatives scale. This is a high-impact, high-ownership role at the intersection of a fast-moving product and a customer base growing rapidly alongside the AI industry.

About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.

We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.

The Opportunity Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.

Atlassian is building AI for how teams work together. Sign up to get on the Talent team's radar and be the first to know about roles that match your background.

We’re looking for an Applied AI Engineer to help bring cutting-edge AI capabilities into the hands of developers. This is a hands-on engineering role at the intersection of product, AI, and systems — focused on implementing and integrating LLM-powered features that enhance developer experience and productivity.

You’ll collaborate with engineers, researchers, and designers to translate product needs into intuitive, reliable AI-powered experiences. You’ll also play a key role in shaping how AI is used across our stack — from prompt design to system integration — while staying up to date on emerging AI capabilities.

Shape how AI transforms products used by hundreds of millions of people across the planet, from helping creators tell better stories to empowering merchants to compete effectively. Whether you're working in-person in NYC or distributed globally, you'll have the autonomy to focus on high-impact work.

Ship user-facing AI features across Automattic's product ecosystem including WordPress.com, WooCommerce, Jetpack, Beeper, and Pocket Casts. Production experience with LLMs at meaningful scale and strong full-stack development (PHP, TypeScript, React) are valued.

As a Machine Learning Engineer specializing in Fine-Tuning at Baseten, you'll create exceptional value for customers by leveraging our world-class infrastructure to fine-tune large language models and/or other modalities, working directly with customers to achieve their specific goals. You'll build scalable pipelines, implement parameter-efficient techniques, and ensure a seamless transition to inference. This customer-facing role requires both technical expertise in foundation model adaptation and the ability to translate customer needs into effective solutions. You'll also help shape our product roadmap by identifying common patterns in customer requirements and working with product teams to develop reusable components and features , reducing the need for custom services and streamlining the fine-tuning process for everyone.

As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance.

Where We Are Engineers spend their days switching between dashboards, terminals, and observability tools. They diagnose issues, chase alerts, and do the repetitive work that keeps systems running. Most of it isn't hard. But it's constant. It crowds out the work that actually makes systems better.

Cleric is an AI SRE teammate. We autonomously diagnose production issues across complex distributed systems. Not just the big outages. The small stuff too. No fix is too small. Engineers can focus on building. Systems get more resilient because problems actually get addressed.

Think of it this way: coding agents are becoming the future of the IDE. Cleric is the equivalent for production operations. We're the future replacement for the dashboards and terminals where engineers who monitor production live today.

Join us at Cleric We're building an autonomous AI agent that investigates and resolves production incidents. When something breaks at 2am, Cleric figures out why and tells engineers what's actually wrong. It's in production at high-scale companies today.

This is uncommon territory for a designer. The interfaces for AI agents don't exist yet, and you'll be inventing them. How do you build trust in an autonomous system? How do you make reasoning legible without overwhelming? These are the problems.

About the role You'll own design across brand, web, marketing, and product. The brand is still taking shape, so you'll define it, not just execute within it. You'll work with a creative director on strategy and a development team on implementation, but the design decisions are yours.

Join us at Cleric We’re building an autonomous AI agent that investigates and resolves production incidents. Our agent combines LLMs with tools to understand systems, reason through problems, and take corrective actions — even for issues it hasn’t seen before.

Cleric is already running in production at high-scale companies across fintech, ride-sharing, and autonomous vehicles.

About the role We’re hiring a Software Engineer, Backend to help build and scale our autonomous agent. This role is ideal for engineers who want to build, ship, and work on production AI systems in real-world environments.

Join us at Cleric We’re building a future where engineers are focused on designing and building products, freeing them from operational toil. We’re starting with an AI-powered SRE agent that remediates issues in production environments autonomously. It uses an LLM-based reasoning engine to react to, interpret, and implement solutions to production issues, even those it's encountering for the first time.

Now is a divine time to join. We're a small group of veterans in AI, software, and infrastructure, backed by a leading AI venture capital firm and Silicon Valley angels. Our product is in production at high-scale technology companies in fintech, ride-hailing, and autonomous vehicles.

About the role We’re hiring a Staff Software Engineer, AI. You will drive the development of our agent. You will be working on the reasoning, learning, and integrations of our SRE agent, and also the underlying runtime and technical architecture of the complete product. You'll help keep engineering standards high, define the experience for our customers, and push the agent to solve increasingly more complex SRE challenges in a fundamentally non-deterministic environment where correctness is measured through evaluation, not code inspection.

Help shape AI governance for developer tooling at Coder. You'll work on the AI Governance team building two enterprise-grade components: AI Gateway, a centralized LLM gateway providing audit trails, token tracking, and cost control; and Agent Firewall, which wraps coding agents with default-deny network policies.

This team works across the full stack — from Go backend and React frontend to integrating with LLM provider APIs. You'll ship features, harden security boundaries, and collaborate with enterprise customers on real-world policy needs.

As the Platform Engineering Lead at Coder, you will lead architectural and technical decisions related to platform engineering and internal DevOps. You'll be the founding member of a new team dedicated to platform engineering, getting hands-on while setting standards and upgrading existing infrastructure.

You'll be directly responsible for maturing Coder's self-hosted deployable artifacts including reference architecture, Helm charts, and Terraform providers.

Senior individual contributor role on Collibra's Platform Infrastructure team, owning the design and evolution of a multi-cloud platform across AWS and GCP. You'll build shared platform services, Kubernetes operators in Go, Kafka, Neo4j infrastructure, and set golden paths that reduce cognitive load for product teams across the organization. Strong Terraform, Istio, and cloud networking fundamentals required.

Collibra's Platform Infrastructure team runs the multi-cloud Kubernetes foundation that every Collibra product runs on, tens to hundreds of clusters across AWS and GCP, managed through Terraform, Helm, and GitOps. This role contributes to that platform through automation in Golang, developer enablement tooling, and production operations. You'll work across the full platform stack: cloud networking, container orchestration, observability, and IaC. Requires US citizenship and 3+ years in platform engineering or SRE at production scale.

Enterprise AI deployments run on trust, and Collibra's Field Security team is what makes that trust credible to the customers who need it most. This director-level role sits at the intersection of security, sales, and product owning the external security narrative, consulting directly with enterprise customers on business-critical concerns, and translating compliance requirements (SOC 2, ISO 27001, FedRAMP, EU AI Act, DORA) into clear internal objectives. Requires US citizenship.

Collibra's Edge Platform team builds the framework that lets customers deploy, upgrade, and manage Collibra applications across their own Kubernetes environments: EKS, AKS, GKE, OpenShift, k3s, and on-prem. This role owns the infrastructure, tooling, and automation that makes that work reliably at scale across highly varied customer configurations. Stack is Java and/or Go, with deep Kubernetes and CI/CD focus. Requires Czech work authorization and 2+ years in DevOps or infrastructure engineering.

The AI systems being built in this room depend on a data layer that works. Collibra is hiring a Postgres-focused Database Engineer to own performance, reliability, and scalability of the database infrastructure that powers enterprise data governance at scale. You'll optimize queries, automate capacity planning, and build observability into a production environment running on AWS and GCP. Requires 3–5 years of hands-on Postgres experience and US citizenship.

What you'll do?

-own the full sales cycle across digital-native accounts: prospecting, qualification, discovery, technical validation, pricing, negotiation, close, and expansion

-run consultative sales conversations with technical buyers and translate agent/tooling problems into a clear Composio value story

What you'll do?

-own paid acquisition end to end across Meta, Google, YouTube, TikTok, and whatever channel starts working next

-build influencer, newsletter, podcast, and partnership channels for a technical audience

https://x.com/victorgu0/status/2056858984511107451?s=20

What you'll do?

-ship growth experiments across the stack - landing pages, onboarding flows, backend services, data pipelines, dashboards, and internal tools

-scope ruthlessly to get signal fast, then either kill the idea or build it properly

WHAT YOU'LL DO?

own the on-prem lifecycle: helm charts, upgrades, the weekly release train, rollback paths.

drive chart convergence: diverged customer forks back onto one supported chart, with guardrails.

What you'll do?

-tell us the job you would be exceptional at and why Composio should create space for it

-show us the work - products shipped, companies started, research, writing, open source, workflows, or anything else with real signal

What you'll do?

-define how the world talks about Composio - positioning, messaging, narrative, and proof across every surface

-own product launches end to end: angle, sequence, channels, assets, internal alignment, and post-launch learning

What you'll do?

-own the customer support queue end to end - triage, reproduce, fix, ship, close

-write code daily in Typescript and Python: small fixes, integration tweaks, SDK patches, and whatever the ticket needs

WHAT YOU'LL DO?

own enterprise accounts end to end: discovery, spec, implementation, QA, release.

ship production code in our toolkit monorepo and customer SDKs: custom and composite tools, schema and scope changes, per-customer patches.

What you'll do?

-manage a book of Composio's largest enterprise and growth accounts as their primary point of contact and internal advocate

-lead structured onboarding so customers reach value quickly with clean technical integration and clear success metrics

What you'll do?

-evolve our platform primitives and APIs — auth, automatic refreshes, triggers, tool search, tool planning, orchestrating and managing sandboxes

-manage multiple runtimes for code execution across lambdas and firecracker

What you'll do?

-own enterprise product end to end - pre-sales technical validation, POC support, weekly customer syncs, launch readiness, and post-launch iteration

-turn ambiguous enterprise requests into product decisions, design docs, tradeoffs, and timelines engineering can defend

What you'll do?

-elevate the experience of teams building on us, by improving our core APIs and SDK

-deliver elegant interfaces both on the frontend and the sdk

What you'll do?

-partner with members of the leadership team to manage calendars, coordinate scheduling, and keep day-to-day operations running smoothly so leaders can focus on high-leverage work.

-act as a generalist operator across the business, jumping into new systems and workflows to identify gaps, bring structure to ambiguous projects, and ship operational improvements end-to-end

What you'll do?

-follow up with inbound and outbound prospects across phone, email, LinkedIn, communities, and events

-uncover fit, urgency, pain, and potential value quickly enough to create useful meetings for Account Executives

What you'll do?

-build internal tooling on the fly to run our internal operations more smoothly

-own banking, treasury and cash management, vendor negotiations

What you'll do?

-run Composio on the internet without making us sound like a generic B2B SaaS account

-turn launches, bugs, demos, customer stories, and founder chaos into posts people actually want to read

What you'll do?

-own technical relationships with top accounts across discovery, architecture, integration planning, launch, and tuning

-build proofs of concept end to end in Typescript, Python, our SDK, and the customer stack

What you'll do?

-own the full sales cycle across enterprise accounts: prospecting, qualification, discovery, technical validation, pricing, negotiation, close, and expansion

-run consultative conversations with engineering, product, AI, security, and procurement stakeholders

What you'll do?

-build large evals with real tool calling data, measuring where models suck in long horizon tool execution

-work on search problems for finding semantically similar tools and cached tool execution paths and plans.

What you'll do?

-elevate the experience of teams building on us, by improving our core APIs and SDK

-deliver elegant interfaces both on the frontend and the sdk

What you'll do?

-own sourcing across every open role - Github, X, hackathon leaderboards, paper authors, open source communities, and the places our customers live

-run technical screens yourself: read code, ask useful follow-ups, and separate signal from noise

Crusoe is the only vertically integrated AI infrastructure company built from the ground up, owning and operating each layer of the stack from electrons to tokens. We're looking for a Senior Staff Software Engineer to build a comprehensive managed platform for the entire AI model lifecycle, with a focus on leveraging Machine Learning models including LLMs.

You'll manage fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), implement end-to-end training pipelines, and work on distillation and reinforcement learning pipelines. Requires 8+ years of experience and hands-on expertise training, fine-tuning, and aligning LLMs.

About the Role We're looking for an experienced Infrastructure Engineer to join as a member of our core Datology AI team. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions. You will lead the development of our data infrastructure capabilities, including multi-cloud support and support for various deployment models, as well as training and inference infrastructure. You will have a broad impact on the technology, product, and our company's culture.

What You'll Work On Design and build the development and production platforms that power our products, enabling reliability and security at scale Architect, build, and deploy our core infrastructure while supporting multiple cloud providers and various deployment models Accelerate company productivity by empowering your fellow engineers & teammates with excellent tooling and systems, providing a best-in-case experience Partner with researchers and engineers to bring new features and research capabilities to our customers

About You 4+ years of relevant experience Have meaningful experience in spearheading and constructing large-scale infrastructure Proficiency in bash, Kubernetes, Python, and/or Terraform or similar technologies Have experience working with AWS, other cloud platforms such as Azure or GCP and/or on-prem environments Have expertise in debugging problems across the stack, such as networking issues, performance problems, hardware issues or memory leaks Take pride in building and operating scalable, reliable, secure systems Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done

About the Role We’re looking for an experienced Cloud Infrastructure Engineer to join our core team at DatologyAI. In this role, you will lead the design, build, and operation of highly available, secure, and scalable cloud infrastructure that powers our training, inference, and data curation pipelines. You’ll work closely with engineering, research, and product teams to define how we deploy and manage compute resources across AWS and other cloud providers. This role is a key early hire and offers an opportunity to have a deep technical and cultural impact.

What You'll Work On Architect and maintain our multi-cloud infrastructure (primarily AWS, potentially Azure/GCP), with a focus on reliability, security, and scalability Define and implement infrastructure-as-code best practices using Terraform, CloudFormation, Pulumi (and similar technologies) Design and manage Kubernetes-based systems for model training, inference, and data processing workloads Optimize our CI/CD pipelines and streamline deployment of services across environments Build monitoring, alerting, and logging systems to ensure high system availability and observability Collaborate with research and engineering teams to provide infrastructure support for training large-scale ML models Ensure our infrastructure supports various deployment models (cloud, on-prem, hybrid) for enterprise use cases Drive cost-efficiency strategies across compute and storage resources Respond to and resolve infrastructure-related incidents with a sense of ownership and urgency

About You 4+ years of relevant experience You’ve led or helped build robust infrastructure systems at a startup or fast-moving engineering organization Deep experience working with cloud providers (especially AWS), and ideally exposure to multi-cloud or hybrid-cloud setups Strong with Kubernetes, Terraform, and containerized architectures Confident with systems-level debugging—networking issues, memory leaks, resource bottlenecks, etc. Comfortable writing clean, maintainable scripts in Bash, Python, or Go You care deeply about building secure and scalable systems and take pride in reliable infrastructure You’re collaborative, humble, and ready to own high-impact projects end-to-end

About the Role As our first Product Manager, you will own the product strategy and roadmap for our enterprise data curation platform. This is a high-leverage, high-ownership role where you’ll build the function from the ground up. You'll work at the intersection of cutting-edge ML research and enterprise software, translating deep technical capabilities like automated data selection, deduplication, batching, multimodal curation at petabyte scale into a product that enterprise AI teams love to use.

You'll partner closely with the founders, our research, engineering teams to define what we build and why. This role will shape how Datology evolves from a technically differentiated platform into a category-defining AI tooling company.

What You'll Work On Own the product roadmap end-to-end: from discovery and prioritization through launch and iteration, with a focus on enterprise-grade AI tooling Partner with research and engineering to turn ambiguous, early-stage outputs into concrete, shippable product decisions. Define and drive the enterprise product experience -- including platform UX, API design, deployment flexibility (BYOC, on-prem), and integrations with existing ML workflows Develop deep customer intuition by engaging directly with enterprise ML teams, data scientists, and infrastructure engineers -- turning their pain points into a clear product strategy Build the foundational PM infrastructure: discovery frameworks, roadmap tooling, release processes, and cross-functional rituals that scale as the team grows Work with Sales and Customer Success to ensure the product enables a repeatable, defensible go-to-market motion Track the competitive landscape across AI tooling, MLOps, and data infrastructure to inform positioning and prioritization Serve as the connective tissue between research output and commercial product -- helping the team decide what to build, sequence how, and measure whether it's working

About the Role We're looking for an experienced Data Platform Engineer to join as a member of our core Engineering team. As one of our senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions. You will lead the development of our core product and data platform. These are key components of our stack that allow us to process customer data and apply state of the art research for identifying the most informative data points in large-scale datasets. You will have a broad impact over the technology, product, and our company's culture. We provide visa sponsorship for candidates selected for this role.

What You'll Work On Design, build and maintain highly scalable data processing solutions, while ensuring scalability, reliability, and security Architect, build, and deploy the back-end systems and services that power our data curation platform Partner with researchers and engineers to bring new features and research capabilities to our customers Ensure that our systems are reliable, secure, and worthy of our customers' trust

About You 4+ years of experience in data engineering, including owning production systems end-to-end -- scalable processing (Spark, Flink), storage (HDFS, S3), lakes/warehouses (Snowflake, Hive), SQL, and workflow orchestration (Airflow, Dagster). Proficiency in Python, Scala, or Java. Experience as a technical lead of a Data Engineering, Platform, or Infrastructure team. Experience building ML/DL systems or data infrastructure that feeds large-scale model training. High bar for design, correctness, and testing. You build systems that are scalable, reliable, and secure. Low ego, high ownership. You help your teammates, pick up whatever's needed, and see problems through to completion.

Collibra acquired Deasy Labs to solve one of the hardest problems in enterprise AI: most of the data that matters is locked in documents, contracts, and reports that AI systems can't reliably use. This role builds the systems that change that: ingesting and enriching unstructured content at scale using LLM-based classification, entity extraction, and context engineering pipelines. You'll own end-to-end delivery in Python/FastAPI, work with Spark for large-scale processing, and integrate across enterprise sources like SharePoint and Salesforce.

Deasy Labs is hiring its first dedicated writer, the person whose words will define how the market understands a new category in enterprise AI. You'll own everything customer-facing: ad copy, web, social, video scripts, long-form technical content, and launch materials, working directly with founders and product leadership. The bar is high and specific: think Stripe and Linear, not SaaS boilerplate. As AI-generated copy floods every channel, original writing has become a competitive differentiator and this role owns it. Requires 5–7 years of tech writing experience and a portfolio that shows range.

DruidAI is an agentic AI scale-up helping organizations move beyond AI experiments to production-ready AI agents that automate real business processes across healthcare, higher education, retail, banking, insurance, and employee-facing workflows.

Join the global go-to-market team as the first point of contact for prospective customers — identifying, engaging, and qualifying inbound and outbound opportunities to build pipeline and contribute directly to revenue growth.

Druid AI is investing heavily in real-time voice — ASR, TTS, and the inference infrastructure that makes them fast enough for live calls. Own this domain end-to-end: model selection, fine-tuning, evaluation, optimization, and production deployment.

This is an applied engineering role with research bursts (roughly 80/20). You'll be a senior individual contributor with significant ownership helping shape the speech team.

Help colleges and universities transform student engagement with conversational AI and intelligent automation. As a Solutions Consultant, you'll help Higher Education prospects envision what's possible with AI-driven student, faculty, and staff experiences on the Druid platform.

Druid AI is an end-to-end platform for building, deploying, and scaling AI agents and Conversational Business Applications. Join as a proactive Support Engineer working closely with technical teams on escalation issues to ensure an excellent support experience for both internal and external clients.

Lead the end-to-end configuration and implementation of conversational AI solutions on the DRUID platform, ensuring successful project delivery and a seamless client experience. DruidAI has hundreds of enterprise customers and recognition in the Gartner Magic Quadrant for Conversational AI Platforms.

Responsible for the implementation and activation of DRUID AI agents within client organizations, while building and nurturing strong relationships with both clients and portfolio partners.

ElevenLabs is at the forefront of AI audio and voice technology, having launched in January 2023. With over 1 million users globally and partnerships with leading names in tech, we've recently closed a Series C funding round at a $3.3B valuation. Our mission is to make content universally accessible in any language and voice.

We're seeking a Developer Advocate based in the San Francisco Bay Area to enhance our developer experience. This role involves improving documentation, creating example projects, and engaging with the developer community through content creation and events.

About Etched

Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.

Job Summary

About Etched

Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.

Job Summary

As Flox's Developer Relations Lead, you’ll be the public, technical, and human face of Flox to software engineers and builders worldwide.

You’ll build integrations, demos, proof-of-concepts, and real technical deliverables that showcase what’s possible with Flox and then use those artifacts to drive Flox adoption and activation. You’ll help organizations understand the value of reproducible environments while nurturing a thriving professional community around Flox.

You’ll also play a key role in helping Flox’s ecosystem grow. While this is not a sales role, you’ll naturally surface new opportunities through advocacy, education, and technical partnership by translating community engagement into qualified interest and adoption.

Flox is hiring a Solutions Engineer to support the full-stack of sales from discovery to close. You're the person who can sit across from a staff engineer at a Fortune 5 company, open a terminal, and earn trust in the first ten minutes.

Flox has strong inbound, so you'll run multiple evaluations in parallel and need to hold quality across all of them. Execution without judgment produces noise. Narrative without a working demo produces slideware. We want both.

This is Flox’s first dedicated security hire. You’ll work directly with engineering leadership to stand up security practices that are pragmatic, developer-friendly, and right-sized for a company at our stage. The role is heavily weighted toward doing—you’ll be the one deploying tools, configuring controls, hardening infrastructure, and closing gaps, not just advising others to do so.

That said, you’ll have real input into how we think about controls, priorities, and our security roadmap as we grow. And because our product sits at the heart of the software supply chain—managing dependencies, environments, and build artifacts for some of the world’s largest engineering teams—security isn’t peripheral here. It’s core to the value we deliver.

If you want to build something from scratch, own it end-to-end, and have your work matter immediately, this is that job. If you want a large team, an existing program to slot into, or mostly governance work, it probably isn’t.

About the Company Our client is building software that improves the accessibility and quality of healthcare by eliminating operational inefficiencies and enabling clinicians to focus on patient care.

Backed by top-tier investors including Andreessen Horowitz (a16z), Craft Ventures, and Y Combinator, the company has raised over $50M to modernize healthcare infrastructure and create scalable systems that truly support providers and patients.

The team values ownership, collaboration, speed, and pragmatic problem-solving — while maintaining a strong mission-driven culture.

About the Opportunity G2i is partnering with a fast-growing, early-stage startup to hire a Founding Mobile Engineer.

This is a rare opportunity to join as the first mobile engineer, working directly with the founders to build and scale a consumer-facing product from the ground up.

You won’t be joining a team — you’ll be defining it. This role is ideal for someone who thrives in 0→1 environments and wants full ownership over the mobile experience.

About the Role

Our client is an early-stage, venture-backed fintech startup on a mission to expand access to financial tools for people historically excluded from the traditional credit system. They're growing fast, capital-efficient, and looking for a Backend Engineer to help build and scale the infrastructure powering their products.

This is a high-ownership role for someone who wants to own systems end-to-end, move fast, and lean heavily into AI-assisted development to multiply their output without sacrificing quality.

About the Role We are looking for a Senior Full Stack Engineer with a strong frontend orientation to help build next-generation collaborative AI-powered product experiences. This role is ideal for someone who thrives in fast-paced startup environments and enjoys building polished, user-centric applications that blend creativity, AI, and real-time collaboration.

You will work closely with product, design, and engineering teams to create highly interactive web and mobile experiences where humans and AI agents collaborate seamlessly.

We’re a very small, fast-moving engineering team building a live AI product used in the real world. Today, that team is just two engineers — and we’re looking for a senior full-stack engineer who wants real ownership, not pre-written tickets.

This role is closer to a founding engineer than a traditional IC position. You’ll work directly with the CTO to turn loosely defined ideas into shipped features. That means designing data models, writing backend logic, crafting frontend experiences, and wiring AI systems together — often in the same week.

If you enjoy ambiguity, value momentum over perfection, and like seeing your work reach users quickly, you’ll fit right in.

About our Client Our client is a well-established provider of insurance and insurance operations solutions, delivering tailored services and cloud-based platforms that help carriers and MGAs modernize operations and scale efficiently. With deep industry expertise and proprietary SaaS offerings, Team Focus enables clients to streamline underwriting, policy administration, claims management, and customer engagement — turning complexity into growth.

While insurance is the company’s core business, digital systems and integrations play a key role in driving operational efficiency and future scalability.

Role Summary As the Founding Full-Stack Engineer, you’ll be the first full-time engineer driving the development of new internal and external technology solutions. You’ll help modernize core workflows, build integrations with key partners and carriers, and scale tech capabilities from zero to one. This is a rare opportunity to shape the future of technology at a mission-critical business unit where tech is an enabler — not the product itself.

About the Company We are a data-focused organization building a modern platform that connects specialty insurance underwriters with capital partners. Founded by experienced leaders in insurance and technology, our mission is to reshape how risk is distributed—making it more efficient, transparent, and scalable. The platform supports operations across multiple countries and a wide range of specialty products, backed by strong financial ratings.

The Role We are seeking an experienced engineering leader to manage a full-stack team within our Product & Technology function. This position combines people leadership with delivery ownership and strong Agile execution. You will play a key role in developing engineering talent, coordinating cross-team efforts, and delivering high-quality SaaS products.

About the Opportunity We’re looking for experienced engineers who are passionate about building scalable systems that improve operational efficiency and data accessibility within healthcare-focused technology platforms.

As a Senior Software Engineer on the Data team, you’ll help develop and maintain the infrastructure responsible for powering critical product workflows through reliable, high-volume data ingestion and processing. This role focuses on building resilient systems that can scale efficiently while maintaining strong data quality and performance standards.

About the role

AI Acquisition builds the AI agent platform that powers growth and revenue operations for thousands of businesses — from AI SDRs and LinkedIn outreach agents to autonomous account management and content generation. We're looking for a senior full-stack engineer who can operate as a de facto AI architect: someone who's just as comfortable shipping a polished Next.js interface as they are designing the agentic workflows and model orchestration running underneath it.

This is a high-ownership role for someone who's built things solo, moved at startup speed, and thinks in systems rather than tickets.

About the Company We are a fast-growing financial technology company building modern infrastructure that bridges traditional financial systems with emerging digital asset technologies. Our platform enables secure, compliant, and scalable access to financial products through innovative technology solutions.

Operating in a highly regulated environment requires a strong focus on security, reliability, automation, and operational excellence. We are seeking a skilled DevOps & Security Engineer to help scale our cloud infrastructure, strengthen our security posture, and improve system observability across mission-critical services.

Position Overview As a DevOps & Security Engineer, you will play a key role in designing, automating, and securing cloud infrastructure while supporting development teams in delivering reliable software at scale. This position sits at the intersection of engineering, operations, and security, with a strong emphasis on automation, infrastructure as code, monitoring, and compliance.

About our Client Our client is building cutting-edge AI solutions in the mental health space, focused on creating impactful, scalable, and clinically meaningful products. Our mission is to develop technology that can make a real difference in people's lives through innovative, AI-powered experiences.

We are at the early stages of launching a major new product initiative with significant long-term potential and global impact.

The Role We are looking for a Founding / Lead Engineer to take ownership of a new AI-driven product from the ground up. This is a high-impact role where you will lead both the technical direction and early product shaping, working closely with clinical and product stakeholders.

As Product Manager, you will be the developer's advocate in the model development and release process, partnering closely with the Developer Experience (DevX) and Platform teams and multiple cross-functional Product Areas to ensure a unified release.

Working closely with API and research teams, you will own the end-to-end model lifecycle on the Gemini API and Google AI Studio core UI surface. Starting with validating model capabilities and the API surface during our Early Access Program, you will ensure every model ships with sensible defaults, excellent tooling support, clear documentation, and a strong GTM strategy. You will be accountable for successfully landing the model via driving post-launch adoption, ensuring long-term developer success, and delivering sustained business impact.

In this role, you will bring relentless developer empathy to model decisions, establish continuous developer feedback loops, and make sure developer signals shape what the research team builds next.

As a Forward Deployed Engineer (FDE), you will serve as the technical bridge between DeepMind's model teams and our most strategic partners. Embedded directly in the partner's engineering journey, you will design joint evaluations, unblock complex integrations, and synthesize high-fidelity technical signals to directly influence model development. This role demands a combination of technical expertise, customer empathy, and the autonomy to operate effectively across global time zones.Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

Your mission is to define the developer relations strategy for India, advocating developer success and driving the adoption of our models and tools. You will actively shape our global product and research direction based on regional insights, lead local launch strategies, and scale a thriving AI builders ecosystem.

The Role AI is rewriting the rules of business, and Gravitee is at the center of that transformation. As our Senior Solutions Engineer, you won’t just be supporting a product; you’ll be shaping how the world perceives and adopts the next generation of AI-driven digital experiences.

As the Solution Engineer of the sales organization, you will be talking to prospective clients to understand their current challenges, deliver tailored demos to show how Gravitee can address those challenges.

What You’ll Be Doing At Gravitee, impact isn’t abstract - it’s visible and global. In this role, you will:

Greptile is an AI code reviewer that catches bugs and anti-patterns in pull requests with complete context of the codebase. Hundreds of top software companies use Greptile to merge PRs faster and prevent bugs.

Solve some of our hardest and most interesting problems, including LLM memory, multi-language codebase indexing, semantic search for large codebases, and much more.

About Keycard At Keycard, we’re building identity & access infrastructure for the agent-native era—where software isn’t static, but a dynamic, constantly changing system of AI agents working on behalf of people and businesses to complete dynamic tasks at runtime.

Our mission is to unlock the agent economy by empowering developers and enterprises with the secure, scalable foundations they need to build, deploy, adopt, and trust agentic applications. To do this, we’re building the real-time, in-band, contextual guardrails required to transition from human-driven to truly autonomous and agentic workflows that give users, builders, and security teams the confidence and control they need to bring agents out of the lab and into production.

At our core, we’re laser-focused on delivering a delightful, best-in-class developer experience that gives them the tools they need to create category-defining applications and experiences while giving platform and security teams the security, scalability, visibility, control, and enablement they need to accelerate their organizations journey to becoming agent native.

About Keycard At Keycard, we’re building identity & access infrastructure for the agent-native era—where software isn’t static, but a dynamic, constantly changing system of AI agents working on behalf of people and businesses to complete dynamic tasks at runtime.

Our mission is to unlock the agent economy by empowering developers and enterprises with the secure, scalable foundations they need to build, deploy, adopt, and trust agentic applications. To do this, we’re building the real-time, in-band, contextual guardrails required to transition from human-driven to truly autonomous and agentic workflows that give users, builders, and security teams the confidence and control they need to bring agents out of the lab and into production.

At our core, we’re laser-focused on delivering a delightful, best-in-class developer experience that gives them the tools they need to create category-defining applications and experiences while giving platform and security teams the security, scalability, visibility, control, and enablement they need to accelerate their organizations journey to becoming agent native.

About Keycard At Keycard, we’re building identity & access infrastructure for the agent-native era—where software isn’t static, but a dynamic, constantly changing system of AI agents working on behalf of people and businesses to complete dynamic tasks at runtime.

Our mission is to unlock the agent economy by empowering developers and enterprises with the secure, scalable foundations they need to build, deploy, adopt, and trust agentic applications. To do this, we’re building the real-time, in-band, contextual guardrails required to transition from human-driven to truly autonomous and agentic workflows that give users, builders, and security teams the confidence and control they need to bring agents out of the lab and into production.

At our core, we’re laser-focused on delivering a delightful, best-in-class developer experience that gives them the tools they need to create category-defining applications and experiences while giving platform and security teams the security, scalability, visibility, control, and enablement they need to accelerate their organizations journey to becoming agent native.

About Keycard At Keycard, we’re building identity & access infrastructure for the agent-native era—where software isn’t static, but a dynamic, constantly changing system of AI agents working on behalf of people and businesses to complete dynamic tasks at runtime.

Our mission is to unlock the agent economy by empowering developers and enterprises with the secure, scalable foundations they need to build, deploy, adopt, and trust agentic applications. To do this, we’re building the real-time, in-band, contextual guardrails required to transition from human-driven to truly autonomous and agentic workflows that give users, builders, and security teams the confidence and control they need to bring agents out of the lab and into production.

At our core, we’re laser-focused on delivering a delightful, best-in-class developer experience that gives them the tools they need to create category-defining applications and experiences while giving platform and security teams the security, scalability, visibility, control, and enablement they need to accelerate their organizations journey to becoming agent native.

About Keycard At Keycard, we’re building identity & access infrastructure for the agent-native era—where software isn’t static, but a dynamic, constantly changing system of AI agents working on behalf of people and businesses to complete dynamic tasks at runtime.

Our mission is to unlock the agent economy by empowering developers and enterprises with the secure, scalable foundations they need to build, deploy, adopt, and trust agentic applications. To do this, we’re building the real-time, in-band, contextual guardrails required to transition from human-driven to truly autonomous and agentic workflows that give users, builders, and security teams the confidence and control they need to bring agents out of the lab and into production.

At our core, we’re laser-focused on delivering a delightful, best-in-class developer experience that gives them the tools they need to create category-defining applications and experiences while giving platform and security teams the security, scalability, visibility, control, and enablement they need to accelerate their organizations journey to becoming agent native.

We are hiring several phenomenal Full Stack TypeScript Developers with experience writing high-quality TypeScript code and additional knowledge of cloud deployment like serverless architectures (Cloudflare/AWS/Azure). In this role, you will contribute to the development and enhancement of our platform, ensuring seamless integration and optimal performance.

Work on some of the hardest problems in applied AI alongside customers. This is not demos or research — you'll help teams build systems they rely on in production. Co-architect and co-build production AI agents with customer engineering teams, own the technical win in pre-sales, and advise customers on architecture and best practices.

Requires 3+ years in a relevant technical role, strong Python/JavaScript fundamentals, and experience designing agent-based or LLM-powered applications beyond simple API calls. This role requires 40% travel to customer sites.

We're seeking an AI Engineer, Customer Facing to serve as a technical advisor and implementation partner for our customers. In this role, you'll bridge the gap between our AI platform capabilities and enterprise business needs, architecting and deploying solutions that deliver measurable value.

As Meticulous's first Forward Deployed Engineer in San Francisco, you'll establish the US FDE presence and help define how the function operates from the ground up. Work directly with engineering leaders at the world's most AI-driven companies, understanding their unique architectures and crafting solutions for their specific needs.

Meticulous is building the last piece of the puzzle to help companies unlock AI code generation — the part that makes it actually safe to ship. Backed by investors behind Twilio, Twitch, Intercom, and PagerDuty, with customers including Notion, ElevenLabs, Dropbox, Discord, and more.

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.

We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.

We are hiring a Senior Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.

Do you enjoy meeting with customers to understand their needs and discuss the art of the possible? Do you want to join a team where learning about new technology is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.

We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.

We are hiring a Senior Technical Program Manager to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. TPMs identify and define the relevant customer scenarios, orchestrate the engineering approach to address these, and develop the end-to-end user stories with internal and external stakeholders, fulfilling the Product Owner role. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.

We are looking for a Principal Software Engineer to define and build the foundational systems for GitHub’s Enterprise AI Platform.

This role sits at the intersection of distributed systems, AI/agent platforms, developer tooling, identity, policy, and platform architecture. You will shape how AI agents operate safely and consistently across IDEs, CLI, MCP, long-running agents, and future Copilot experiences.

Do you enjoy solving problems, writing software, and working with customers? Do you want to join a team where learning about new technology is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.

We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.

We are hiring a Principal Product Design Specialist to define specific product needs based on user insights to ideate to define solutions to meet user needs and create and develop design concepts and specifications that optimize the emotional and functional experience of a product, software, device, or service. You will collaborate with a cross-functional team of software engineers, technical program managers, and data scientists to work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.

We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.

We are hiring a Principal Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.

Do you see software development as both a craft and an art? Are you the kind of engineer who looks at a problem, sees a path forward, and wants to build it, fast, thoughtfully, and with quality? If so, keep reading…

We're looking for Principal Software Engineers who want to make a meaningful impact and move quickly alongside a collaborative team, building innovative agentic and software-security solutions, including Microsoft MDASH.

Here’s what you’ll be working on:

Microsoft Research (MSR) is a multidisciplinary global organization creating scientific knowledge and delivering innovation for positive human impact at scale. We work with scientific, engineering, academic, and business partners to apply machine learning and Artificial Intelligence (AI) to advance economics, health, and society.

The Microsoft Research Americas Engineering team is hiring a Principal Research Software Engineer to provide technical leadership and direct technical contribution as an individual contributor on the AI Agentic Core Team. Our mission is to accelerate the path from research to product by building AI-driven systems, workflows, and platforms that help researchers and product teams move faster from exploration to real-world impact. In this role, you will collaborate with engineers, researchers, and product teams to build high-impact systems spanning early-stage prototypes through production-ready tools, services, and experiences, while modernizing how we design, build, evaluate, and ship software across Microsoft Research Americas and beyond.

This role is well suited for engineers who enjoy moving across layers—from product experiences and services to data, cloud infrastructure, and AI-enabled workflows—and who are energized by applying AI to real engineering and product problems. Deep expertise in how models work is valuable but not required to be effective in this role.

Do you enjoy meeting with customers to understand their needs and discuss the art of the possible? Do you want to join a team where learning about new technology is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.

We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.

We are hiring a Principal Technical Program Manager to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. TPMs identify and define the relevant customer scenarios, orchestrate the engineering approach to address these, and develop the end-to-end user stories with internal and external stakeholders, fulfilling the Product Owner role. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.

Do you see software development as both a craft and an art? Are you the kind of engineer who looks at a problem, sees a path forward, and wants to build it, fast, thoughtfully, and with quality? If so, keep reading…

We're looking for Senior Software Engineers who want to make a meaningful impact and move quickly alongside a collaborative team, building innovative agentic and software-security solutions, including Microsoft MDASH.

Here’s what you’ll be working on:

The Bing Places team is building intelligence that powers local search experiences used by millions of people every day. We are looking for Applied Scientists to help design, build, and ship advanced AI and machine learning solutions—spanning large language models (LLMs), retrieval augmented generation (RAG), learning‑to‑ranking, and entity understanding—to deliver high‑quality, trustworthy local search experiences at scale.

As an Applied Scientist on Bing Places,

You will work on challenging problems that require deep technical expertise and a strong focus on real‑world impact. You will work end‑to‑end: from problem formulation and data analysis, through model development and experimentation, to production deployment and live flighting. You will collaborate closely with engineering and product partners to develop, experiment with, and ship models that operate at Microsoft scale, while contributing to the broader scientific community through publications and patents Bing Location Understanding and Geocoding team - (Redmond, WA)

GitHub is shaping the future of software development in the age of AI agents — and search is at the heart of it.

As GitHub's lexical and semantic code search engine, Blackbird powers context retrieval for business-critical

experiences across the platform and our Copilot products, including Cloud Agent, Code Review, Copilot CLI, and VS Code.

Health Futures is a mission-focused organization within Microsoft Research, working at the forefront of artificial intelligence, healthcare, and life sciences research. We are a global and diverse team of engineers, scientists, and domain experts who are working on expanding the technological frontier of health and life sciences through deep research. We offer a unique and vibrant environment that features innovative academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations between all three. Our mission is to empower every person on the planet to live a healthier future.

We are looking for a Senior Researcher - Machine Learning for Life Sciences to help us advance the ways artificial intelligence can accelerate and advance discovery in biomedicine and the life sciences. This role is ideal for a candidate with intellectual curiosity who wants to craft a research agenda, articulate it clearly to team members with a diverse set of backgrounds, and execute it as a member of that research team. Successful applicants will bring deep expertise about AI and will be passionate about making new discoveries in health and the life sciences.

At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

Do you enjoy solving problems, writing software, and working with customers? Do you want to join a team where learning about new technology is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.

We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.

We are hiring a Senior Product Design Specialist to define specific product needs based on user insights to ideate to define solutions to meet user needs and create and develop design concepts and specifications that optimize the emotional and functional experience of a product, software, device, or service. You will collaborate with a cross-functional team of software engineers, technical program managers, and data scientists to work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.

Do you enjoy solving problems, writing software, and working with customers? Do you want to join a team where learning about new technology is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.

We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.

We are hiring a Senior Software Engineer with deep experience and expertise in designing and delivering solutions using modern software engineering practices and cloud technologies. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.

The Bing Places team is building intelligence that powers local search experiences used by millions of people every day. We are looking for a Senior Applied Scientist to help design, build, and ship advanced AI and machine learning solutions—spanning large language models (LLMs), retrieval augmented generation (RAG), learning‑to‑ranking, and entity understanding—to deliver high‑quality, trustworthy local search experiences at scale. As a Senior Applied Scientist on Bing Places, you will work on challenging problems that require deep technical expertise and a focus on real‑world impact. work end‑to‑end: from problem formulation and data analysis, through model development and experimentation, to production deployment and live flighting. collaborate closely with engineering and product partners to develop, experiment with, and ship models that operate at Microsoft scale, while contributing to the broader scientific community through publications and patents. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

The Code|AI team is the Applied Research and Data for Github Copilot and VS Code, working on the future of AI for Developers! We are a diverse, entrepreneurial, and multi-disciplinary group of scientists, researchers, and engineers with a passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot, VS Code, Visual Studio and Copilot extensions in other IDEs. Our team focuses on post-training code specific models like code completion, code embedding models and agentic research for Copilot Coding Agent, Copilot CLI and Copilot Code Review. We embrace the open source and continue to share our research and work with the developer and research community to advance AI in Developer tools.

We are seeking entrepreneurial and creative Applied Researchers 2/ Senior Applied Researchers - CoreAI to lead groundbreaking research projects, taking these from research into product. You will collaborate with scientists, engineers and designers across Microsoft Research, Microsoft product teams, and Github. You will have an opportunity to build and train state-of-the-art models, and opportunities to both apply and advance existing approaches of using LLMs for software engineering, from using RAG to evaluation. Most importantly, you will have an opportunity to work closely with several developer product teams to run experiments, evaluate, iterate, and improve your AI projects on a large scale.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

We’re living in an era of more possibilities, more innovation, and more openness. As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on some of the most interesting and challenging AI problems. Our vision is bold and broad -- to build a truly open architecture v1 platform -- to enable and reimagine how users can summon bespoke AI agents to drive real meaningful business outcomes.

This role involves crafting user-facing features powered by Generative AI while taking full ownership of their development from inception to delivery, ensuring exceptional quality and seamless implementation. You’ll be working closely with some of the world’s most recognizable brands, helping them catapult into the AI transformation era. Ideal candidates will have a balanced combination of theoretical AI knowledge and practical software development experience, enabling them to design, develop, and deploy sophisticated software systems at scale, with an experimentation and iterative mindset. Candidates for this role should also demonstrate customer passion, a bias for action, and an ability to work effectively across organizational boundaries.

Come and build the next generation of AI agents!

Health Futures is a Research and Incubation team working at the intersection of computer science, signal processing, machine learning, and biomedicine. We are a global and diverse team of engineers, scientists, and medical doctors who are working on next-generation Artificial Intelligence (AI) tools and methods for health and life sciences. We offer a unique and vibrant environment that features innovative academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations among all three, much like a lean startup. Our mission is to empower every person on the planet to live a healthier future.

We are seeking a Principal Machine Learning Engineer to accelerate our training of generative models in close collaboration with Maching Learning (ML) researchers, software engineers, and domain experts. This is a hands-on technical role focused on advancing state-of-the-art model capabilities across a variety of scientific domains and modalities. You’ll spend your time working across the stack from curriculum design, to debugging training runs, through developing new evaluation methods and high-performance inferencing – with a goal of improving all phases of our training process. As part of Health Futures, you’ll have the opportunity to tackle everything from model training to data and evaluation pipelines. Your work will span the full spectrum of model development – training and optimizing models on the latest hardware, devising new ways to assess their capabilities, and evolving data and training workflows to maximize model utility. Beyond model training, you’ll participate in explorations of how these models can and should be used in the real world – and the systems required to successfully operate them.

At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

Microsoft Research (MSR) is a multidisciplinary global organization working to create scientific knowledge and deliver innovation that leads to positive human impact at scale. To envision and build the future, we work with our scientific, engineering, academic and business partners to use Machine Learning and Artificial Intelligence (AI) to impact economics, health and society. The Microsoft Research Americas Engineering team supports several MSR labs (Redmond, New England, New York City, and Montreal) and seeks an innovative and experienced Senior Research Software Engineer on the Agentic Experiences team to drive and contribute to a variety of research projects in various stages of research and productization. You will help deliver quality engineering solutions engaging in AI-native development methods, automation, and agentic workflows to design, build, evaluate, and ship software across Microsoft Research. You will collaborate with other engineers, researchers, and product teams to create innovative vision and drive high quality execution for high-impact and high-scale reach across all of Microsoft’s portfolio, from core models, health, social and economics, coding and development, vision and graphics, systems and networks, and more. You will also be able to contribute to the shape our engineering culture, strategy, and execution, as well as modernize AI engineering practices all in support of accelerating our collective impact across Microsoft Research Americas, Microsoft and beyond.

At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

Do you enjoy solving problems, writing software, and working with customers? Do you want to join a team where learning about new technology is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.

We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.

We are hiring a Principal Software Engineer with deep experience and expertise in designing and delivering solutions using modern software engineering practices and cloud technologies. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.

Health Futures is a mission-focused organization within Microsoft Research, working at the forefront of artificial intelligence, healthcare, and life sciences research. We are a global and diverse team of engineers, scientists and domain experts who are working on expanding the technological frontier of health and life sciences through deep research. We offer a unique and vibrant environment that features innovative academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations between all three. Our mission is to empower every person on the planet to live a healthier future.

We are looking for a Senior Researcher - Machine Learning - Microsoft Research to help us advance the ways artificial intelligence can accelerate and advance discovery in biomedicine and the life sciences. This role is ideal for a candidate with intellectual curiosity who wants to craft a research agenda, articulate it clearly to team members with a diverse set of backgrounds, and execute on it as a member of that research team. Successful applicants will bring deep expertise about AI and will be passionate about making new discoveries in health and the life sciences

#Research #MSRR

The Data and AI team in Microsoft’s Developer Division is working on the future of AI for Developers! We are a diverse, entrepreneurial and multi-disciplinary group of scientists, researchers and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot, VS Code, Visual Studio and other Microsoft Copilots.

We are seeking entrepreneurial and creative Principal Applied Researcher to lead groundbreaking research projects, taking these from research into product. You will collaborate with scientists, engineers and designers across Microsoft Research, Microsoft product teams and Github. You will have an opportunity to build and train state-of-the-art models, and opportunities to both apply and advance existing approaches of using LLMs for software engineering, from using RAG to evaluation. Most importantly, you will have an opportunity to work closely with several developer product teams to run experiments, evaluate, iterate and improve your AI projects on a large scale.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

The mission of the AI Frontiers lab is to expand the pareto frontier of Artificial Intelligence (AI) capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of our projects include work on Small Language Models (e.g. Phi, Fara, Fara-multimodal, OmniParser) and agentic AI systems (e.g. AutoGen, MagenticOne, Magentic-UI).

We are advancing the science of agents with research on Machine Learning (ML), Human-Computer Interaction (HCI) and AI. To bridge foundational breakthroughs with real-world agent autonomy, we are building an end-to-end agentic model stack that integrates pre-training, post-training, reinforcement learning (RL), multi-agent collaboration, agentic harness, and deployment. Our core objective is to create self-improving AI systems that can navigate dynamic enterprise environments by learning through experience and interaction.

The Role

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate.

Do you ever think about the code you didn’t write? Because most of it—you didn’t. Modern software is assembled, not authored. A single application depends on hundreds, often thousands, of open-source components written by people you’ll never meet—yet running with the same privileges as the code you carefully review and own. This is the software supply chain—and it has quietly become one of the most actively exploited attack surfaces in the world.

Become an integral member of the Microsoft Defender for Endpoint (MDE) Team. We’re looking for a Principal Software Engineer who wants to help build the foundational capabilities to defend it. In this role, you’ll work on detecting and stopping threats at the source—whether it’s a malicious npm package, a typosquatted dependency, or a compromised update—before it ever reaches a developer’s project or production environment.

The mission of the AI Frontiers lab is to expand the pareto frontier of Artificial Intelligence (AI) capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of our projects include work on Small Language Models (e.g. Phi, Fara, Fara-multimodal, OmniParser) and agentic AI systems (e.g. AutoGen, MagenticOne, Magentic-UI).

We are advancing the science of agents with research on Machine Learning (ML), Human-Computer Interaction (HCI) and AI. To bridge foundational breakthroughs with real-world agent autonomy, we are building an end-to-end agentic model stack that integrates pre-training, post-training, reinforcement learning (RL), multi-agent collaboration, agentic harness, and deployment. Our core objective is to create self-improving AI systems that can navigate dynamic enterprise environments by learning through experience and interaction.

The Role

GitHub is changing the way the world builds software and we want you to help build and secure GitHub. We're looking for an experienced machine learning engineer to help design, build and deploy agentic solutions, and to conduct ad-hoc analysis, as you help protect the home of all developers.

You will be responsible for identifying new trends relating to safety, fraud and abuse on GitHub, building agentic solutions to detect this abuse at scale, identifying vulnerabilities in GitHub that lead to abuse and helping to measure the impact of our work to safeguard the platform. At GitHub, Safety and Integrity's mission is to ensure GitHub and our users' safety through fighting malware, spam and fraud, monitoring for fake accounts, countering inauthentic content, battling crypto mining, and other core areas. You will be involved in collaborations across teams within GitHub including with Copilot and setting the standard for effective and responsible use of AI for moderation and trust and safety purposes, ensuring fraud is countered, content is moderated, users are kept safe and the open-source community can flourish.

If you have a strong foundation in large language models, solid software engineering instincts, a working knowledge of online platform trust and safety issues, and an empathetic approach to collaborating with a diverse team from entry-level associates to seasoned senior contributors, then this might be the gig for you.

We are looking for strong engineers with experience in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal's container runtime to push language and diffusion models towards higher throughput and lower latency, we'd love to hear from you!

We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform.

Lead the design and optimization of high-performance kernels for large-scale AI inference on GPUs and emerging custom accelerators. You'll own performance-critical paths, drive architectural decisions, and turn complex AI workloads into highly optimized implementations that run efficiently at scale.

Work at the intersection of hardware, compilers, and AI systems. Requires 5+ years in performance-critical systems, strong C/C++ and GPU kernel programming (CUDA, HIP). US or Canada, remote or in-office (Los Altos, CA).

Senior Developer Advocate San Francisco, California Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine Learning infrastructure, training, and inference challenges to advance our futures trading strategies.

Optiver is a seeking a Machine Learning Performance Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine Learning infrastructure, training, and inference challenges to advance our futures trading strategies.

We are seeking a highly skilled and experienced AI Engineer to join our dynamic team. In this hands-on role, you’ll design, build, and deploy sophisticated agents that orchestrate data, workflows, and decisions across the firm. You’ll own the full lifecycle—from rapid prototyping through production rollout—while always tying technical choices back to clear business outcomes. If you can translate strategy into code, measure impact in dollars (or hours saved), and thrive in a fast-moving environment, we want to meet you.

The Optiver Research Platform (ORP) is a vertically integrated platform team that manages both high-performance compute infrastructure and the software platform layered on top. ORP enables Optiver’s global research teams to define and execute large-scale computational problems such as simulations and model training through streamlined orchestration of complex workflows. By owning the full stack, from datacenter hardware to distributed research tooling, ORP provides the fastest possible turnaround time for experiments and continually expands Optiver’s ability to generate insights from the markets we operate in.

As a Software Engineer focused on Infrastructure, you’ll play a foundational role in building the systems that power Orb’s scale and reliability. We're looking for engineers who thrive in high-leverage environments and want to shape the infrastructure that supports our growing platform.

This is a great opportunity to own core pieces of our infrastructure stack, help scale critical systems, and work cross-functionally with product engineering and GTM teams.

As a Senior Software Engineer, you will play a pivotal role in enhancing the security architecture of our platform. You’ll work closely with cross-functional teams to design, develop, and implement robust security solutions that adhere to the highest industry standards. Your contributions will directly impact the safety and integrity of organizations relying on Pomerium to secure their infrastructure.

PostHog is working on a self-driving product and is training its own Deep ML models for this, and to do this we have a new AI Research team.

We track more products across more dimensions than any other company on earth. Because of this, we have Petabytes of data across events, errors, session replays, revenue data and more. It's an exceptionally large amount of data relative to our company size and we want to use it for our users' benefit.

Just imagine how, with the vast amount of data we capture, we can automatically surface insights and suggest fixes.

As an AI Research Engineer, you will be a substantial part in making this happen. This team is brand new, so you will have real autonomy, be close to customers, and greatly influence what we actually ship.

Prolific is the architect of the human data infrastructure reshaping AI development. We're looking for impact-focused Software Generalists to join our team serving frontier model creators and enterprise AI application developers.

Work directly with frontier AI companies, making critical technical decisions that balance scrappy startup execution with scalable, reliable engineering. Hybrid based out of San Francisco, approx 1-2 days a week. Salary: $200,000 - $250,000/year.

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and RAG to AI agents. As a Developer Relations Engineer, you'll be part engineer, part educator, and part community builder, empowering developers to build sophisticated AI applications using Qdrant through high-quality content, demos, and community engagement.

As a Senior Software Engineer on the Cloud Operations team, you'll work at the intersection of platform engineering and reliability. You'll design, operate, and evolve the cloud-native infrastructure that underpins Qdrant Cloud, with a strong focus on scalability, stability, and reducing operational load through engineering.

As a Senior Software Engineer on the Cloud Operations team, you'll design, operate, and evolve the cloud-native infrastructure that underpins Qdrant Cloud, combining strong software engineering with infrastructure and systems thinking. Requires 5-7+ years in platform engineering with strong Go and Python proficiency.

As a Staff Software Engineer on the Platform team, you'll design and evolve core platform services and internal APIs that power Qdrant's managed cloud offering. This role focuses on building platform primitives and abstractions, reducing complexity, and driving architectural evolution across the cloud platform.

We're looking for a VP of Engineering to lead and grow our engineering organization post-Series B, scaling from a beloved open-source tool into the definitive vector search platform for enterprise AI. You'll partner with the CEO and leadership team to shape technical direction, build engineering culture, and ship products that developers and enterprises trust.

Lead the end-to-end deployment of Reducto into customer environments, ranging from VPC to bare metal on-prem. Partner directly with enterprise IT, security, and platform teams to deploy, configure, harden, and operate Reducto inside their environments.

Lead end-to-end deployment of Reducto into customer environments with hands-on execution and direct customer exposure. Build monitoring, telemetry, and phone-home patterns, debug infrastructure issues, and codify what works into repeatable deployment patterns and automation.

Build the inference and training frameworks that make it possible to deliver results at scale. Design systems for scaling model training across multi-node, multi-GPU environments with strong reliability and observability. Explore SOTA advances in training and inference and work to apply them.

Train and deploy state-of-the-art models for parsing and interpreting unstructured data. Experiment with novel techniques to improve LLM accuracy, build data pipelines, evaluate model performance, and work directly with the founders and customers to shape product direction.

Work on features used by customers to design, build, test, and evaluate business-critical document workflows. Build interactive document viewers, data extraction workflows, and delightful experiences using Next.js, Tailwind, and Convex.

Work on Reducto's core API powering document parsing for hundreds of companies. Integrate cutting-edge LLMs, optimize document processing pipelines, and build the platform and infrastructure that makes state-of-the-art document understanding accessible at scale.

RELAI is hiring an AI Researcher to help define the future of reliable AI agents. You’ll develop novel methods for simulation, evaluation, and optimization, turning frontier AI research into production systems that improve agent behavior in real-world environments. The bar is exceptionally high, we’re looking for engineers who think in systems, operate with extreme ownership, high speed and rigor.

RELAI is hiring a Senior Full-Stack Engineer to help build the infrastructure that makes AI agents reliable in production. You’ll work across product, backend, frontend, AI infrastructure, and enterprise deployment, owning features end-to-end and shaping a category-defining platform. The bar is exceptionally high, we’re looking for engineers who think in systems, operate with extreme ownership, high speed and rigor.

About Resolve AI Software maintenance and production troubleshooting have become a massive tax of engineering velocity. Resolve AI is solving this by building a transformative, truly autonomous AI Production Engineer that investigates and fixes complex system issues end-to-end.

Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.

We’ve raised over $190M from top-tier investors including Lightspeed, Greylock, DST, Unusual Ventures, and individual backers such as Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn), and Fei-Fei Li (Professor, Stanford).

Our raison d'etre is safely running untrusted code for our customers. There's no better language to do that than Rust. We're built on top of open source foundations (wasmtime, Deno, and Firecracker) with plenty of proprietary bits to make code execution safe.

We're looking to add another Rust expert to our team to help us quickly respond to customer feedback and improve our already lightning-fast performance.

As a Senior Software Engineer on Sentry's AI/ML team, you'll be directly responsible for developing the platform used by our debugging agents. This role is crucial; you will be at the forefront of integrating AI and machine learning into our core products, from issue triage and resolution to predictive analytics for application performance monitoring.

You'll build state-of-the-art agentic AI platforms to triage, debug, and solve real production issues, leveraging Sentry's novel (and massive) dataset of errors, spans, and profiles. You'll own the development of major initiatives in the AI/ML space and work alongside developers and product teams in a high-stakes, high-visibility environment.

Location: San Francisco, CA (Hybrid - in-office Mondays, Tuesdays, and Thursdays)

Salary: $150,000 - $190,000 per year

Qualifications: Minimum 5+ years of professional experience with Bachelor's degree in computer science, machine learning, or a related field. Demonstrated expertise building production-grade agentic systems and tools. Comfortable writing production quality code (we use Python and Typescript). Familiarity with deep learning frameworks (we use PyTorch) and deploying machine learning models at scale in production environments.

As a Staff Machine Learning Engineer on Sentry's AI/ML team, you'll be directly responsible for developing the models and agents used to make our product smarter and more capable. Build state-of-the-art agentic AI systems to triage, debug, and solve real production issues, leveraging Sentry's novel (and massive) dataset of errors, spans, and profiles.

Sit within Platform Engineering and own the AI-assisted coding domain, working across all of engineering at Sentry. Focus on how AI coding agents participate in the software development lifecycle — audit internal systems, expose them programmatically, and build connections that let tools like Claude Code operate end-to-end.

Build the harness tooling, context systems, and feedback loops that help agents generate high-quality, repository-aware pull requests. Automate high-volume engineering work: security dependency upgrades, minor bug fixes, and routine maintenance.

Design and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.

Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.

Partner with large enterprises and cutting-edge startups: You'll work directly with leaders at some of the world's largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.

Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.

tambo-ai is a React package for adding generative React components into your UX. Shape how devs integrate genUX into their apps. Power next-gen intelligent interfaces used by thousands of developers.

The Staff Developer Advocate at Temporal Technologies will be the voice and face of our developer community in the AI space in the Bay Area. This role involves producing high-quality technical content, engaging with developers, and gathering feedback for product development. The successful candidate will drive developer engagement and contribute to the growth of our open-source community.

Join Tessl's engineering team to build real-time AI Native workflows, tooling, and interfaces that will reshape how developers create and maintain software. You'll collaborate closely with product, design, and the wider Engineering team to bring AI Native development to life in a fast-paced, high-trust environment.

Requires 5+ years as a Software Engineer with proven experience leveraging AI coding tools and agents. Office in Kings Cross, London (3 days/week in-office).

We’re looking for a Product Marketing Manager who can take the complex world of LLM observability and make it simple, engaging, and compelling. You'll be responsible for shaping our positioning, launching new features, enabling sales, and crafting messaging that resonates with developers, product teams, and AI leaders alike.

This is a unique opportunity to join a small but mighty team that's already working with some of the world’s leading AI teams—from startups to enterprises—on one of the fastest-growing areas in AI infrastructure.

As an Enterprise Account Executive at Traversal, you’ll lead our early-stage sales efforts and build our GTM engine from the ground up. You will own the full sales cycle, from strategic prospecting to closing, while defining the playbook for our agentic observability platform.

You'll partner closely with our founders and Sales Engineering team, you will navigate complex technical evaluations and guide prospects through high-impact proof-of-concepts. We are looking for a high-ownership individual who can translate deep technical value into business outcomes for SREs, platform teams, and engineering leaders. If you have a proven track record in developer tools and thrive in high-velocity startup environments, you’ll be instrumental in scaling our AI-native infrastructure to the enterprise.

As a Forward Deployed Engineer at Traversal, you will own the last-mile delivery of the Traversal product by deploying frontier LLMs in production, optimizing multi-step reasoning workflows, and improving the performance and accuracy of our agentic systems. You will be responsible for the end-to-end deployment of the agent into the largest enterprises and ensuring it delivers accurate and actionable insights.

This is a highly technical role at the intersection of AI, systems engineering, and customer impact. You’ll work across teams to ensure our AI agents interact seamlessly with large volumes of observability data and scale reliably across environments. The insights you generate through your customer-driven work will directly impact roadmaps for all other engineering teams at the company.

As an AI Engineer - Cloud Infrastructure on Traversal’s Infrastructure team, you’ll design, secure, and operate the core systems that power Traversal’s AI products. We already serve Fortune 50 enterprises with large-scale, multi-tenant environments, BYOC deployments, and SOC 2 Type II controls, and we’re rapidly scaling.

You’ll focus on the building blocks of our Terraform-defined infrastructure and Kubernetes environments, while supporting the complex needs of operating the highly-available, highly-resilient, and cost-efficient platform that supports the Traversal AI SRE agent.

This is a senior, high-impact role: you’ll own foundational systems, work across AWS-native infrastructure, cloud networking, Kubernetes environments, Terraform, Helm, Python, and more, shaping how enterprise AI reliability is built and scaled.

As an AI Researcher at Traversal, you'll work on improving the accuracy and speed of our agents — systems that autonomously diagnose and resolve production incidents for some of the world’s largest enterprises.

This is a hands-on, production-oriented research role. You will design experiments, run them on real data, and ship improvements. Not flag them — ship them.

You'll work end-to-end: identify a failure mode in agent reasoning, design an intervention, evaluate it against real customer traces, and get it into production. The tooling and infrastructure are in place. The research problem is hard. The feedback loop is fast. This is not a publish-papers role. It is a make-the-agent-work role – build-and-ship cutting edge AI.

As a Solutions Engineer at Traversal, you’ll help define how we engage with prospective customers, you'll guide them from initial technical discovery through successful deployment. This is a foundational, customer-facing role at the intersection of technical depth and relationship building.

You’ll collaborate with product and engineering to translate customer needs into compelling, customized pilot deployments that achieve high value for customers. You’ll work closely with our CEO, CTO, GTM and Product teams to help scale founder-led sales into a repeatable process. You’ll act as the technical voice in conversations with prospects, create resources to support go-to-market efforts, and relay insights back to the team to shape roadmap priorities.

If you thrive in high-ownership, high-velocity environments—and are excited to help define how AI-native infrastructure products are introduced and adopted—we’d love to meet you.

As a Backend AI Engineer at Traversal, you’ll play a key role in designing and building the core systems behind our AI site reliability engineer, the infrastructure that enables real-time incident detection, root cause analysis, and automated remediation in some of the most complex production environments. You’ll work closely with our AI and infrastructure teams to productionize novel AI agent architectures and machine learning algorithms, develop high-performance inference APIs, and build internal observability tooling. Your work will span ingesting and reasoning over logs, metrics, and traces at scale, optimizing systems across hybrid SaaS and on-prem deployments, and supporting mission-critical reliability for global enterprises.

As a Product Engineer at Traversal, you’ll play a key role in designing and building core features powered by our AI site reliability engineer. From the user interface to the backend and infrastructure, you’ll develop product components to enable real-time incident detection, root cause analysis, and automated remediation in some of the most complex production environments. This role will focus on the ability to work across the full pipeline of our product, and someone who can have a strong product sense while also being comfortable working around AI and data processing infrastructure will be the best fit.

We're looking for a high performance ML-focused software engineer to join us on our mission to build AI superpowers for developers. We serve one of the largest scale and most demanding LLM applications in the world.

Develop custom LLM serving systems and corresponding datacenter infrastructure to deliver high model quality at very low latency and cost. Improve our LLM training software both in terms of model architecture changes that improve model quality or increase iteration speed and reliability. Build indexing systems capable of serving queries instantly from many terabytes of data within customer deployments. Contribute to infrastructure for petabyte-scale data pipelines to accelerate our ML research work.

We're looking for an ML research-focused software engineer to join us on our mission to build AI superpowers for developers.

Train and fine-tune large language models. Navigate high levels of uncertainty and prioritize high-value ML experiments to maximize product impact. Demonstrate initiative and the ability to start and make progress on projects independently. Swiftly design, track, and analyze experiments results. Meticulously document findings, conduct ablation studies, and synthesize data into actionable insights. Participate in the ML reading group and level up the team's knowledge of LLM training and infrastructure.

We're looking for software engineers to join us on our mission to build AI superpowers for developers.

We're hiring Software Engineers across all levels. Minimum 2+ years of Software Engineering experience is required. Bachelors / Masters degree in computer science, mathematics or physics. Ideally attendance at a top university, or participation in programming contests.

We're building an Applied AI team to dramatically increase productivity across Engineering, Sales, Support, and Operations as well as build out external AI functionality for our customers.

As an Applied AI Engineer, you'll design and ship production AI systems that change how WorkOS builds, sells, and supports software. You'll work on a small, high-ownership team that chooses problems based on measurable impact and moves from idea to prototype to production in days or weeks.

We're looking for an events-forward DevRel leader who thrives in the room: organizing meetups, building community, representing WorkOS publicly, and creating technical content that drives real engagement.

You'll own and scale WorkOS's developer events strategy, represent WorkOS as a public-facing technical voice, and build relationships with developer communities and influencers across the ecosystem.

This role requires a strong background in solution architecture, AI agent design, and enterprise systems integration. You’ll own key customer-facing initiatives and partner with top-tier clients to design, build, and deploy robust AI Agent architectures powered by [xpander.ai](http://xpander.ai/).

You’ll work closely with engineering, product, and customer teams to shape the future of enterprise-grade AI Agents—from early proof of concept to scaled deployment.

Expect to get your hands dirty, own technical conversations, and work side-by-side with developers, from our platform and on the client side. This is a highly strategic role, blending architecture, product thinking, and deep technical execution.

Zed is a next-generation code editor that's engineered from scratch in Rust to be fast, elegant, and collaborative. As we expand our AI capabilities, we're looking for engineers with deep, hands-on experience working with large language models to own and shape our AI experience.

Your role will be to drive Zed's AI strategy through model evaluation, fine-tuning, and data collection. You'll work alongside our engineering team to bring AI features from concept to production, while elevating the team's understanding of language model capabilities and best practices. Your expertise will be crucial in determining how we can best leverage AI to enhance the coding experience.

This role offers a unique opportunity to apply deep language model experience in a product focused on transforming how developers work. At Zed, you'll have the support of a team that excels at building world-class user interfaces for code, allowing you to push the boundaries of AI-assisted development.

As a Product Design Engineer, you'll shape how developers and AI systems interact within core developer environments. Designers at Zed work closely with engineers, prototype ideas directly in the product, and often implement parts of the interface themselves. Design is tightly integrated with engineering.