In short: We're hiring a Frontend Engineer to build performant, scalable user interfaces for our rapidly growing LLM engineering platform.
About LangfuseWe are building the fastest growing open-source LLM engineering platform.
We help engineers and enterprises build and run LLM applications at scale.
We've raised $4m from Y Combinator, Lightspeed and General Catalyst.
Thousands of teams and engineers use Langfuse daily
Thousands are joining every month
We're a small, focused team working from Berlin, Germany.
Past projects you would have led:
Come up with an improved architecture for our frontend application
Build self-serve dashboards to generate insights into billions of LLM executions of our users
Creating performant table components with a focus on usability and fast rendering times
Implementing advanced filtering and search interfaces for complex datasets
You should be familiar with a majority of these but we trust that you can pick up a new language/framework quickly.
React
Frontend and Backend in Typescript (including Express, NextJs, Tailwind, Prisma, tRPC)
3+ years of experience in frontend development
Experience building highly performant front-ends.
Strong understanding of React, TypeScript, and modern frontend tooling
Experience with state management and data fetching patterns
Hard worker and thrive working in a small and accountable team
Excited about open source software
A CS/quantitative degree is preferred
Bonus
Performance optimization and profiling experience
ML/AI experience
Impressive achievements from previous careers or side projects
Previous startup or founding experience
You are joining really early
Strong Product Market Fit!
We are building a very small but highly capable team
Only hiring Engineering in foreseeable future
Strong customer & revenue growth
Building picks and shovels for the hottest AI companies
Building for very sophisticated technical users
Competitive salary & equity
Performance and learning focused culture
Everyone on the team says: "best place I've ever worked at"
Engineering based in Berlin ( we aim for 4-5 days in the office )
No more than 2 short scheduled meetings per week
Extreme ownership & autonomy how and what to work on
We can run this process in less than 7 days.
Fill out application
We screen your application
Jump on a intro call with our CTO
Technical Deep Dive interview
Super Day ( half or full day in Berlin Office )
Meet the other founders (short calls)
Decision & Offer
Our codebase: GitHub Repository
Ben Kuhn on Impact, Agency and Taste
Who we are & how we work
Top Skills
What We Do
Langfuse is the 𝗺𝗼𝘀𝘁 𝗽𝗼𝗽𝘂𝗹𝗮𝗿 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲 𝗟𝗟𝗠𝗢𝗽𝘀 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺. It helps teams collaboratively develop, monitor, evaluate, and debug AI applications.
Langfuse can be 𝘀𝗲𝗹𝗳-𝗵𝗼𝘀𝘁𝗲𝗱 in minutes and is battle-tested and used in production by thousands of users from YC startups to large companies like Khan Academy or Twilio. Langfuse builds on a proven track record of reliability and performance.
Developers can trace any Large Language model or framework using our SDKs for Python and JS/TS, our open API or our native integrations (OpenAI, Langchain, Llama-Index, Vercel AI SDK). Beyond tracing, developers use 𝗟𝗮𝗻𝗴𝗳𝘂𝘀𝗲 𝗣𝗿𝗼𝗺𝗽𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁, 𝗶𝘁𝘀 𝗼𝗽𝗲𝗻 𝗔𝗣𝗜𝘀, 𝗮𝗻𝗱 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 to improve the quality of their applications.
Product managers can 𝗮𝗻𝗮𝗹𝘆𝘇𝗲, 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗲, 𝗮𝗻𝗱 𝗱𝗲𝗯𝘂𝗴 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 by accessing detailed metrics on costs, latencies, and user feedback in the Langfuse Dashboard. They can bring 𝗵𝘂𝗺𝗮𝗻𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗹𝗼𝗼𝗽 by setting up annotation workflows for human labelers to score their application. Langfuse can also be used to 𝗺𝗼𝗻𝗶𝘁𝗼𝗿 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗿𝗶𝘀𝗸𝘀 through security framework and evaluation pipelines.
Langfuse enables 𝗻𝗼𝗻-𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘁𝗲𝗮𝗺 𝗺𝗲𝗺𝗯𝗲𝗿𝘀 to iterate on prompts and model configurations directly within the Langfuse UI or use the Langfuse Playground for fast prompt testing.
Langfuse is 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲 and we are proud to have a fantastic community on Github and Discord that provides help and feedback. Do get in touch with us!