AI Engineer

About Lextract

Lextract is redefining how legal due diligence is done. We combine deep legal expertise with cutting-edge GenAI and secure, EU-hosted infrastructure to automate and accelerate M&A transactions — giving lawyers time to think, not just review. Our platform reduces manual review effort by up to 80% while increasing consistency and quality in due diligence workflows. We are built specifically for European transaction practice — not as a generic AI layer, but as an end-to-end solution tailored to how M&A lawyers actually work. We're a growing team, backed by angel investors from top-tier law firms and technology companies, with a strong partner network across Europe's legal ecosystem.

The role

You'll architect and scale the AI systems at the heart of Lextract's due diligence platform — working at the intersection of LLM pipelines, agentic workflows, and the backend infrastructure that holds it all together. This is a unique opportunity to push how legal documents are processed, analyzed, and understood at scale. We're looking for someone with strong classical software engineering fundamentals and a real, hands-on grasp of what does and doesn't work when building with LLMs.

The technical challenges:

• Building the full legal due diligence pipeline: from multi-approach retrieval (RAG, graph-based, and beyond) to deep per-document and cross-document analysis across diverse data formats
• Designing source referencing systems for full traceability — lawyers need to trust the output, and that means knowing exactly where every insight comes from
• Architecting secure, scalable APIs and data infrastructure that handle large document volumes while keeping performance tight and access controlled
• Solving the hard evaluation problem: we measure what we ship, and measuring quality in a deep, variable, domain-specific pipeline is a real challenge in itself

Our stack

• Backend: Python (FastAPI), PostgreSQL
• Frontend: Next.js, React, TypeScript
• LLM & AI: Agentic frameworks, RAG pipelines
• Infra & DevOps: Docker, Azure, Terraform

You might be a fit if…

• You have at least 3 years of full-time backend engineering experience with strong Python proficiency
• You've gone deep on LLMs — in a professional setting, through significant side projects, or both — and can speak credibly to retrieval design, prompting, evaluation, and agentic patterns
• You're comfortable with cloud infrastructure (Azure / AWS / GCP) and containerization (Docker, Kubernetes)
• You bring a zero-trust security mindset: up to date with auth, secure cloud, and data protection best practices

Bonus

• Frontend experience with TypeScript / React / Next.js
• Experience with document processing workflows

What we offer

• A growing team with deep product, legal, and tech expertise — focused, dynamic, and shipping fast
• Early-stage opportunity with competitive compensation and equity options
• Onsite from our Munich office, working closely with the team day to day
• Ownership and clarity: end-to-end responsibility for features, minimal dependencies, fast decisions