Build LLM observability frameworks, libraries, pipelines, and APIs.
Collaborate with the AI OSS community; gather feedback and review PRs.
Prototype and iterate rapidly on state-of-the-art LLM techniques.
Improve observability and debugging; surface insights on LLM behavior to diagnose issues.
Educate and evangelize with blogs, docs, tutorials to grow the LLM eval community.

🎯 Requirements

Open Source champion and community-driven development.
Creative problem solver for ambiguous challenges.
Data and metrics driven with empirical results.
Technically curious about LLM architectures.
Builder mindset: prototyping to production.
Hands-on LLM experience and strong TypeScript proficiency.

🎁 Benefits

Shape the future of AI evaluation.
High impact, real ownership.
Fully remote, flexible environment with optional in-person offices.
WFH monthly coworking stipend.
Work on large-scale production AI workloads.

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot