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

Legalhero·BerlinRemotosenior

En corto

→Construyes productos de IA desde cero en flujos legales, desde idea hasta producción.
→Apoyas a equipos de producto con evaluaciones, riesgos y mejores prácticas de IA, sin estar asignado a un solo squad.
→Destaca que "senior" se refiere a tu enfoque, no a tus años: actúas como líder técnico independiente.

Business-level English

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¿Qué piden?

✓Sistemas de IA/LLM en producción que hayas lanzado a usuarios reales
✓Experiencia demostrable en propiedad de producto: de problema vago a solución final
✓Habilidades sólidas en Python y ingeniería de software (Git, pruebas, CI/CD, revisión de código)
✓Experiencia profunda con LangGraph, LangChain o herramientas similares
✓Dominio de APIs de proveedores de LLM: llamadas de funciones, salidas estructuradas, streaming
✓Capacidad de evaluar, crear datasets de oro y definir controles antes del despliegue

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

LangGraphLangChainLLM provider APIsfunction/tool callingstructured outputsstreamingprompt engineeringLLM observabilityagent-based coding workflowsgolden datasets

¿A quién escribirle en Legalhero?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

What You'll Do 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. 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 What you bring 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 What we promise 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.

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