Unlocking insights for LLM applications
Langfuse is an emerging player in the AI observability space, providing analytics tailored for Large Language Model (LLM) applications. Founded in 2023 and based in Prenzlauer Berg, Berlin, Langfuse offers a suite of developer tools that enable product and engineering teams to gain visibility into t...
Langfuse offers equity options to employees, a lovely office in the heart of Berlin-Mitte, and fosters a fun culture with regular shared meals, Mario ...
Langfuse promotes a unique culture centered around innovation in AI observability. The small team dynamic encourages collaboration and rapid iteration...
Langfuse • Berlin
Open Source LLM Engineering Platform that helps teams build useful AI applications via tracing, evaluation, and prompt management (mission, product)
We have the chance to build the "Datadog" of this category; model capabilities continue to improve but building useful applications is really hard, both in startups and enterprises
Largest open source solution in this category: >2k customers, >14M monthly SDK downloads, >6M docker pulls
We raised money from world class investors (Y-Combinator, Lightspeed, General Catalyst) and are default alive by making more money than we spend
We're a small, engineering-heavy, and experienced team in Berlin and San Francisco (how we work)
In short: We are hiring a (senior) Backend Engineer to make our systems and infra keep up with our globally growing user base and billions of monthly events to process.
Past projects you would have led:
Optimizing the latency of complex database queries in Postgres or Clickhouse
Adding Redis queues and a worker container to our stack to execute async tasks
Come up with a new architecture for our ingestion pipeline with the goal to increase throughput and cut cost
Explore different CH schemas and materialized views and test for different query patterns.
Re-building our SDKs to use OTEL under the hood
Write Terraform code to add new infra components
You should be familiar with a majority of these but we trust that you can pick up a new language/framework quickly.
see our tech stack
see our architecture
Experience in maintenance of highly reliable and scaling infrastructure
3+ years of experience in backend or full-stack development
Excited about open source software
Experience with the trade offs of handling large amounts of data
Hard worker and thrive working in a small and accountable team
A CS/quantitative degree is preferred
Bonus
Experience with or interest in SDK design and DX
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
Project you could have built: Infrastructure Evolution Blog Post
Our codebase: GitHub Repository
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