Open Source AI Engineer (Typescript)
Arize AI · San Francisco, CA · Yesterday
RemoteRemoteEngineering$185k–$200k/yrFull-time
About the role
Ai is rapidly transforming the world. 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.
Opportunity
We are looking for an Open Source AI Engineer to join our growing OSS team to drive the development of new frameworks, metrics, and tooling that help people build, test, and improve LLM tasks. You’ll play a lead role in shaping how developers measure and understand performance in advanced AI systems, all in the open.
What You’ll Work On
- Build LLM Observability Frameworks: Design, architect, and open-source new libraries, pipelines, and APIs that make it simpler to monitor, evaluate, and improve LLM output.
- Collaborate with the Community: Partner closely with the broader AI open source ecosystem, gather feedback, review pull requests, and steer the direction of the project to address real developer needs.
- Prototype and Iterate Rapidly: Experiment with state-of-the-art LLM techniques, turning research into practical developer tooling.
- Improve Observability and Debugging: Integrate with our existing platform to surface deeper insights on LLM behavior—help teams quickly diagnose and fix issues such as hallucinations or bias.
- Educate and Evangelize: Write blog posts, white papers, tutorials, and documentation to help developers succeed with our open source tools and grow the LLM eval community.
What We’re Looking For
- Deeply passionate about AI, loves working in the open, and thrives in a fast-paced environment where “everyone wears multiple hats”.
- Core values: Open Source Champion, Creative Problem Solver, Data & Metrics Driven, Technically Curious, Builder Mindset.
Desired Skills & Experience
- Hands-on LLM Experience: Familiarity with popular LLM frameworks, prompt engineering techniques, and agent harnesses.
- Strong TypeScript Proficiency: You understand TypeScript and can write isomorphic code that executes seamlessly across clients, servers, and diverse edge runtimes.
- Open Source Track Record: Contributions to open source projects, personal GitHub repos with interesting AI demos, or a history of active engagement in developer communities.
- ML Observability & Tools: Familiarity with debugging AI applications, exploring embeddings, or building data-heavy dashboards is a plus.
Why Work With Us
- Shape the Future of AI Evaluation: Be at the forefront of designing new ways to measure and improve next-generation LLMs.
- High Impact, Real Ownership: Join a team that values autonomy and speed. You’ll drive major initiatives from day one and see your work used by developers worldwide.
- Fully Remote, Flexible Environment: We are a fully remote company with offices in the Bay Area and NYC for those who prefer in-person collaboration.
- Cutting-Edge Challenges: Our platform already helps analyze millions of AI predictions daily, giving you the chance to refine your evaluation tooling on real, large-scale production workloads.
- Work With a Talented, Passionate Team: Collaborate closely with top engineers who are dedicated to making AI more transparent, reliable, and impactful.