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Build and ship features for AI agent evaluation, execution replay, and developer experience. Engage with the AI engineering community and translate user feedback into product improvements.
Build developer tools that help AI agent teams evaluate and improve agent behavior using real execution data. This role combines product engineering with active community engagement, bringing what you learn from agent builders directly into product decisions.
Build and ship features for agent evaluation, execution replay, cohorts, and developer experience.
Share technical work, demos, and ideas on X and GitHub, and engage with the AI engineering community.
Talk with agent builders through customer demos, community discussions, and developer feedback.
Turn insights from users and the community into product improvements, then share what you build.
Contribute across engineering, customer-facing work, and product promotion as priorities change.
At least 3 years of experience building or shipping production software, including building or evaluating agents in production.
Production-level Python proficiency and hands-on experience with agent frameworks.
Experience with LLM or agent evaluations, traces, observability, or debugging agent execution.
Open-source contributions with demonstrated use by other developers.
Experience building developer tools, SDKs, APIs, CLI tools, or libraries, with strong documentation and developer experience instincts.
Active participation in AI engineering or developer tools communities, such as sharing technical work on X or GitHub.
Comfort working in early-stage or high-uncertainty environments and taking on varied responsibilities.
The salary range is $125,000 to $190,000 USD annually.
Remote, with Munich, Bavaria, Germany as the primary location.
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