Langfuse - Senior Product Engineer, Integrations
€90k - €160k • Germany • Full-time
Posted 1mo ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
LLM Engineer
About the job
Langfuse is seeking a Senior Product Engineer, Integrations to own the critical first impression for developers interacting with their platform. This role involves building and maintaining integrations with over 40 frameworks and model providers, ensuring a seamless experience for users. You will be at the forefront of LLM application development, working with cutting-edge AI frameworks and contributing to the core Python and TypeScript SDKs. This position offers significant exposure to the rapidly evolving AI ecosystem and the opportunity to directly impact thousands of developers through open-source contributions.
Responsibilities
- Build and maintain framework integrations with over 40 frameworks and model providers.
- Own integrations end-to-end, from initial implementation to ongoing maintenance.
- Instrument new frameworks as they gain traction.
- Design new integration patterns for emerging frameworks and agent orchestrators.
- Contribute improvements to core Python and TypeScript SDKs based on integration needs.
- Write documentation, integration guides, quickstart tutorials, and migration paths.
- Engage with framework communities, respond to GitHub issues, and write blog posts about new integrations.
- Represent Langfuse in the broader AI developer ecosystem and build relationships with framework maintainers.
Requirements
- Passion for the LLM ecosystem and experience building applications with frameworks like LangChain, Pydantic AI, Vercel AI SDK, or LlamaIndex.
- Strong proficiency in Python and/or TypeScript, with a focus on clean, reliable code.
- Product-minded approach, obsessing over the developer getting-started experience.
- Self-directed and motivated, capable of developing conviction and shipping features independently.
- Enthusiasm for open source and developer community engagement.
- Ability to thrive in a small, accountable team environment.
- CS or quantitative degree preferred, but not required.
Benefits
- Flexible work environment
- Employer contributions towards healthcare
- Stock options
- Flexible time off