We just announced our $3M Pre-Seed. Watch our ā launch video.
Thousands of engineers sign into Langfuse daily to inspect traces, update prompts, and run experiments. Full LLM inputs and outputs can be tens of thousands of tokens. Your job: make that experience fast and intuitive.
You love profiling React renders. You know when to virtualize, memoize, or restructure. The data is massive ā the interface should never feel like it is.
Open Source LLM Engineering Platform ā the Datadog of AI observability. Trusted by 19 of the Fortune 50, 2k+ customers, 26M+ monthly SDK downloads. Now part of ClickHouse.
Build performant trace views ā Own rendering of large LLM data: bottlenecks, data loading, re-render reduction so even the largest agent traces feel snappy.
Own our React setup ā Shape how we build components, structure code, and write tests. Keep us up to date with React Compiler and new patterns.
Ship complex interactive features ā Recent examples: agent graph visualization, redesigned trace view with tree/timeline toggle, inline comments anchored to text selections.
Ship end-to-end ā Connect to tRPC APIs and extend them when a feature needs it. No hard boundaries.
Bonus: large data application experience, former founder, data visualization or devtools background
Langfuse is an open-source LLM engineering platform that helps teams build production-grade LLM applications faster, and it is used by thousands of teams worldwide.
Know someone who'd be great for this?
$4M
raised
Open-source LLM observability platform Langfuse raised a $4M seed round from Lightspeed Venture Partners, La Famiglia and Y Combinator