Software Engineer Backend DevOps

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