(Senior) AI Product Engineer (m/w/d)

You’ll identify open AI opportunities, build them from start to finish, and bring them to real users. As a Senior AI Product Engineer, you’ll work across our three product squads: You’ll single-handedly turn unaddressed topics into products, hand them off once they’re up and running, and serve as a sparring partner for the squad PMs on all AI-related topics. For us, “senior” refers to your approach to work, not your years of experience. You’ll report directly to Product Leadership.

Your Responsibilities Independent AI projects (about half of your time) You’ll identify high-impact AI opportunities in our legal workflows - in areas where no specific squad is responsible Validation happens quickly: discussions with attorneys, Legal Ops, and insurers; prototypes built in days You’ll bring the winning solutions into production yourself: routing, chaining, summarization, and agent-based loops You’ll hand off mature features to the squad - complete with documentation, evaluations, and a handover plan Support for the squads (the other half) Feasibility, costs, model selection, risks: You’ll answer these questions before every AI feature is launched You support the teams in designing evaluations, golden datasets, and guardrails You review concepts before they go into the roadmap - including prompt injection and compliance risks (GDPR, Section 203 of the German Criminal Code) You advance AI best practices: prompt engineering standards, LLM observability, and agent-based coding workflows

Must-have Multiple production-ready AI/LLM systems that you’ve shipped to real users and taken responsibility for - no prototypes Demonstrable product ownership: from a vague problem to a finished product Strong Python skills and a solid foundation in software engineering (Git, testing, CI/CD, code review) In-depth experience with LangGraph, LangChain, or similar - including an understanding of what’s happening under the hood Proficiency with LLM provider APIs: function/tool calling, structured outputs, streaming Evaluations, golden datasets, and guardrails before deployment Solid prompt engineering - you know when to use which technique Business-level English; German is a major plus due to our legal domain Soft Skills The maturity to work without a squad around you: You set your own priorities and know when to say no You can explain a technical trade-off to a lawyer and a legal workflow to an engineer

Work Environment & Flexibility Office-first: 3 days in the office, 2 days working from home - with flexibility in how you structure your work Modern, air-conditioned office with plenty of natural light and a large rooftop terrace overlooking Berlin Central location between Gleisdreieck and Potsdamer Platz Benefits Full coverage of the public-transport ticket Company pension plan with a 20% employer contribution Corporate benefits platform with discounts from many brands Dog-friendly office Regular company and team events, after-work fun with Switch, PS5, darts, and foosball Free drinks, fresh fruit, and granola Culture & Collaboration Agile mindset with open communication - every voice counts Feedback is part of our culture - we believe in growing together Fast application process Your application as an AI Product Engineer (Senior) - short and to the point Approx. 20-minute introductory conversation with our HR team Approx. 60-minute in-person interview with your hiring manager Approx. 30-minute discussion with the management team A prompt job offer Your contact: Nadine · HR Manager ·