Frontend Engineer

We are seeking a Frontend Engineer to build high-performance, scalable user interfaces for our rapidly growing LLM engineering platform. Join a team building the fastest-growing open-source LLM engineering platform, backed by $4M in funding from Y Combinator, Lightspeed, and General Catalyst. We are a small, focused team based in Berlin, Germany.

Responsibilities:

• Build complex data visualization components.
• Optimize bundle sizes and implement code splitting.
• Create performant table components for large datasets.
• Build real-time dashboards using WebSockets.
• Implement advanced filtering and search interfaces.
• Write comprehensive frontend tests and set up CI/CD pipelines.

Tech Stack:

React, Frontend and Backend in Typescript (including Express, NextJs, Tailwind, Prisma, tRPC), Clickhouse, Postgres, Redis, S3.

Qualifications:

• 3+ years of frontend development experience.
• Experience building high-performance web applications for large datasets.
• Strong understanding of React, TypeScript, and modern frontend tooling.
• Experience with state management and data fetching patterns.
• A proactive, team-oriented work ethic.
• Excitement for 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.

Langfuse is a leading open-source LLMOps platform based in Berlin, Germany, empowering teams to collaboratively develop, monitor, evaluate, and debug AI applications. Self-hostable and battle-tested, Langfuse is trusted by thousands of users, from Y Combinator startups to large enterprises like Khan Academy and Twilio. Developers leverage Langfuse's SDKs (Python, JS/TS) and integrations (OpenAI, Langchain, Llama-Index, Vercel AI SDK) for tracing LLMs. They utilize Prompt Management, open APIs, and testing and evaluation pipelines to enhance application quality. Product managers analyze, evaluate, and debug AI products through detailed metrics, incorporating human-in-the-loop annotation workflows and monitoring security risks. Non-technical team members iterate on prompts within the Langfuse UI. Langfuse thrives on its open-source community and welcomes contributions on Github and Discord.