Full Stack AI Engineer

Job Description

Why Libra now?

We're on a mission to revolutionize the way lawyers work by teaching computers to think like a lawyer. We're a team of engineers and lawyers working closely together building a secure AI platform to automate legal workflows reliably and transparently.

Libra is already trusted and used by more than 200 law firms across Europe and growing fast. We're backed by Merantix, Europes leading AI Fund, giving us the resources needed to achieve our vision. Joining Libra at this early stage you will have a large responsibility from day one with an unlimited potential to grow personally and professionally together with the team.

If youre high-energy, passionate and our mission feels compelling to you, waste no time apply and reach out to us now!

The role

We are looking for exceptional engineers to join our fast-growing team automating manual processes for legal professionals. You'll play a central role in developing our AI product and have end-to-end ownership of new features.

You will focus on research and development related to large language models, reporting directly to our CTO, and as part of a lean engineering team, we expect that you are able to contribute across the stack when necessary.

We're Looking For In-depth Experience With

• Python: FastAPI and common packages related to data science
• Svelte
• Building agentic LLM-powered products with RAG and tool usage
• LLM-related frameworks like Langfuse and LangChain or similar
• Vector databases
• Docker
• Software engineering best practices
• Security best practices
  
  

Our team works in person at the Merantix AI Campus in Berlin. You must have excellent English verbal and written communication skills. Fluency in German is a plus.

Who You Are

• You have an entrepreneurial mindset and a deep sense of urgency in achieving your goals
• A self-starter mindset - you enjoy working independently while keeping the teams goals in mind
• A pragmatic approach to problem solving. Its more important to you to solve the problem than to use new/hyped technology
• Ability to balance trade-offs between simple 80% solutions and complex 100% solutions