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.

Looking for a highly-skilled Senior Machine Learning Engineer, to lead the development and delivery of technologies to push the boundaries of efficient inference for open source Generative Artificial Intelligence (GenAI) models. This role offers the exciting chance to work in a highly technical domain at the boundary between fundamental AI research and production engineering such as Quantization, Speculative Decoding, and Long Context for inference efficiency.

We are seeking a Senior Applied Scientist for the team. This is a role that combines science knowledge (around machine learning and reinforcement learning), compilers and systems. It will be your job to develop novel ML/RL systems and algorithms while working with the engineering team to integrate them into different projects. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.

This role is targeted for research engineers working on inference optimization of foundation models on AI accelerators.

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 looking for a Technical Product Marketing Manager (PMM) to drive product growth and adoption by improving the onboarding experience, optimizing user journeys, and creating data-driven nurture strategies. You’ll work closely with Product, Marketing Growth, and Developer Relations teams to refine how users experience Arize—ensuring they get value faster and stay engaged.

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.

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.

Apply for Block's 6-month paid Builder Fellowship for emerging AI talent in design and engineering. Build with Square, Cash App, Tidal, and Proto. Applications close Nov. 21, 2025.

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.

As a Platform Engineer on the Machines team, you'll shape the core of this system. You'll work on `flyd`, the per-server orchestrator written in Go, which acts as a specialized database tracking state‑machine steps like creating, migrating, or cordoning off Fly Machines. You'll also collaborate with our Rust‑based network infrastructure through Corrosion, the open‑source state‑distribution layer.

Current priorities include powering two big internal products: Managed Postgres (MPG —which demands reliable compute‑and‑storage orchestration—and secure, ephemeral execution pools forLLM coding environments that can safely access APIs and secrets at scale.

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. Design, implement, test, and deploy full features and get user feedback to iterate.

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 more bugs.

Maintain and build features for the Greptile dashboard, which is a TypeScript-based web app. Work with our design engineer to ensure a fast, consistent, and beautiful experience across the application. Maintain the customer-facing analytics dashboard, which helps engineering leadership see the value that Greptile is creating for their organization.

Greptile is an AI code reviewer that catches bugs and anti-patterns in pull requests with complete context of the codebase. A new repo starts using Greptile every 2 minutes. Across customers, Greptile reviews nearly 200 lines of code per second on average, but peak usage can be several times higher.

Design and implement robust infrastructure to help Greptile keep up with growing usage. Work with our largest enterprise customers to help deploy Greptile into their environments. Operationalize the on-premise deployment process so we can serve smaller customers without needing much hands-on work.

Greptile is an AI code reviewer that catches bugs and anti-patterns in pull requests with complete context of the codebase. Greptile reviews over 200M lines of code every month. Our customers across our cloud and self-hosted products range from YC startups to big tech companies and even teams outside tech, in finance, healthcare, and defense.

Solve some of our hardest and most interesting problems, including LLM memory, multi-language codebase indexing, semantic search for large codebases, and much more. Design, implement, test, and deploy full features and get user feedback to iterate the features.

We're looking for our first Developer Advocate to help bring Greptile to the broader developer community. You'll be the connection point between our product and the outside world—especially open source contributors, curious engineers, and early adopters.

This is a zero-to-one role. You'll experiment with different channels, learn what resonates, and help define how Greptile builds developer trust at scale. Drive adoption in open source, evangelize Greptile's features, create developer-facing content, and keep our documentation accurate and useful.

Greptile is an AI code reviewer that catches bugs and anti-patterns in pull requests with complete context of the codebase. Greptile reviews over 400M lines of code every month. Our customers across our cloud and self-hosted products range from YC startups, to big tech companies, and even teams outside tech, in finance, healthcare, and defense.

Own the full enterprise sales cycle from prospecting to close across technical and economic buyers. Identify, prioritize, and develop strategic relationships with top software organizations. Develop deep product knowledge and demonstrate strong technical fluency in the AI/code review space.

Greptile is the AI code reviewer that catches bugs in pull requests for thousands of software teams. We're hiring our first Solutions Engineer to help enterprise customers evaluate and adopt Greptile.

Partner with Account Executives to run technical discovery and tailor Greptile to each customer's stack. Design and lead proof-of-concepts and pilots that demonstrate Greptile's value in complex environments. Handle security and compliance diligence and act as the technical voice of the customer internally.

We're looking for a staff engineer to be a part of the core PromptQL team at Hasura (https://promptql.hasura.io).

PromptQL is redefining how AI systems should access data in a business context with an emphasis on visibility, steer-ability, and repeatability.

Building on the foundation of Hasura's Data Delivery Network (DDN), PromptQL is going to be a major focus for Hasura in 2025. As part of a small, high-impact team working directly with Hasura leadership, you’ll help shape the product direction and deliver core functionality across AI, data, and infrastructure layers.

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.

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.

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.

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.

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.

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.

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.

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.

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.

We are looking for a Product Engineer to join the V0 team, focusing on building and optimizing the next generation of AI-powered developer tools. As part of the V0 team, you will play a pivotal role in enhancing our AI-driven code generation and developer experience tooling, helping teams ship faster with cutting-edge AI-assisted workflows.

You will work closely with product designers, AI researchers, and other engineers to develop intuitive and performant features that seamlessly integrate into the Vercel ecosystem. Your contributions will directly shape how developers interact with and benefit from AI-driven solutions in their workflows.

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.

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.