Langfuse is open source [1] observability and analytics tool for LLM applications — think Amplitude and Datadog for LLM apps. Our users use Langfuse to understand what happens in production and use our insights to improve their applications. We have built a number of LLM applications during the last YC winter batch and realized how hard it is to debug and improve them and move beyond an MVP.
Details on the job:
- We work in-person in our office in Berlin, Germany
- We heavily use the T3 stack [2] (Nextjs, Prisma, Tailwind, tRPC, shadcn) and have client SDKs in TS and Python and expect you to have experience with full-stack Typescript projects.
- You will work on topics such as improving DX on the SDKs, think about and implement architecture improvements, or re-think how we illustrate LLM traces in our UI.
- We want to build a tool that is recommended here on HN: you can build a tool you would want to use yourself.
Langfuse is open source [1] observability and analytics tool for LLM applications — think Amplitude and Datadog for LLM apps. Our users use Langfuse to understand what happens in production and use our insights to improve their applications. We have built a number of LLM applications during the last YC winter batch and realized how hard it is to debug and improve them and move beyond an MVP.
Details on the job:
- We work in-person in our office in Berlin, Germany - We heavily use the T3 stack [2] (Nextjs, Prisma, Tailwind, tRPC, shadcn) and have client SDKs in TS and Python and expect you to have experience with full-stack Typescript projects. - You will work on topics such as improving DX on the SDKs, think about and implement architecture improvements, or re-think how we illustrate LLM traces in our UI. - We want to build a tool that is recommended here on HN: you can build a tool you would want to use yourself.
Please see more details here: https://langfuse.com/careers or reach out directly to me: [email protected]
[1] https://github.com/langfuse/langfuse
[2] https://create.t3.gg/