About
Langfuse provides open-source integrations that connect AI frameworks and model providers to its platform, helping developers instrument and observe LLM applications.
Responsibilities
•Build and maintain framework integrations end-to-end, from initial implementation through ongoing maintenance as frameworks evolve
•Evaluate emerging frameworks and agent orchestrators, design instrumentation approaches, build integrations, write documentation, and ship them
•Contribute improvements to the Python and TypeScript SDKs, including new hook points, better context propagation, and performance optimizations
•Write integration documentation, quickstart tutorials, cookbooks, and migration paths
•Engage with framework communities, respond to integration-related GitHub issues, write blog posts, participate in community channels, and build relationships with framework maintainers
•Build and ship integrations for emerging agent frameworks and new categories of AI tools
•Create quickstart cookbooks that help developers get started in under five minutes
•Work with the OpenTelemetry community to improve GenAI semantic conventions
•Maintain and upgrade popular integrations as frameworks introduce breaking changes
Requirements
•Experience building applications with LLM frameworks such as LangChain, Pydantic AI, Vercel AI SDK, or LlamaIndex, or a strong willingness to learn major frameworks hands-on
•Strong Python and/or TypeScript skills and a focus on clean, reliable code quality
•Product-minded approach to developer experience, including onboarding, error messages, and working documentation examples
•Self-directed, able to investigate frameworks, talk to users, and propose solutions without detailed specifications
•Genuine interest in open source, developer communities, documentation, and contributing to open-source projects
•Comfortable owning outcomes and working in a small, accountable team
Nice to have
•Experience with OpenTelemetry internals or observability instrumentation
•Contributions to popular open-source projects, SDKs, or developer tools
•Experience building developer tooling, CLIs, or client libraries
•Former founder or early startup experience
•Active participation in AI/ML developer communities through blog posts, talks, or open source
Benefits
•Flexible work environment
•Employer contributions towards healthcare
•Stock options for every new team member
•Flexible time off in the US and generous entitlement in other countries
•USD$500 home office setup allowance for remote employees
•Opportunities to engage with colleagues at company-wide offsites
