<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>About Lextract</strong></p><p>Lextract is redefining how legal due diligence is done.</p><p>We combine deep legal expertise with cutting-edge GenAI and secure, EU-hosted infrastructure to automate and accelerate M&amp;A transactions — giving lawyers time to think, not just review.</p><p>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&amp;A lawyers actually work.</p><p>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.</p><p><br/></p><p><strong>The role</strong></p><p>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.</p><p>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.</p><p><strong><em>The technical challenges:</em></strong></p><ul><li>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</li><li>Designing source referencing systems for full traceability — lawyers need to trust the output, and that means knowing exactly where every insight comes from</li><li>Architecting secure, scalable APIs and data infrastructure that handle large document volumes while keeping performance tight and access controlled</li><li>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</li></ul><p><strong><em>Our stack</em></strong></p><ul><li>Backend: Python (FastAPI), PostgreSQL</li><li>Frontend: Next.js, React, TypeScript</li><li>LLM &amp; AI: Agentic frameworks, RAG pipelines</li><li>Infra &amp; DevOps: Docker, Azure, Terraform</li></ul><p><br/></p><p><strong>You might be a fit if…</strong></p><ul><li>You have <strong>at least 3 years of full-time backend engineering experience</strong> with strong Python proficiency</li><li>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</li><li>You're comfortable with cloud infrastructure (Azure / AWS / GCP) and containerization (Docker, Kubernetes)</li><li>You bring a zero-trust security mindset: up to date with auth, secure cloud, and data protection best practices</li></ul><p><strong><em>Bonus</em></strong></p><ul><li>Frontend experience with TypeScript / React / Next.js</li><li>Experience with document processing workflows</li></ul><p><br/></p><p><strong>What we offer</strong></p><ul><li>A growing team with deep product, legal, and tech expertise — focused, dynamic, and shipping fast</li><li>Early-stage opportunity with competitive compensation and equity options</li><li>Onsite from our Munich office, working closely with the team day to day</li><li>Ownership and clarity: end-to-end responsibility for features, minimal dependencies, fast decisions</li></ul> </div>