product engineer integrations

Langfuse provides open-source integrations that connect AI frameworks and model providers to its platform, helping developers instrument and observe LLM applications.

• 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

• 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
• Будет плюсом: 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

• 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