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…
What they ask for
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
More details and full description
Skills mentioned
Communication
Python
Work eligibility
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Germany · EU · Guidance only, not legal advice. Check official sources for your situation.
Full description
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.
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
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. 30-minute discussion with the management team
• A prompt job offer
Your contact: Nadine · HR Manager · Jobs in Germany on Arbeitnow
Du liebst es, wenn Prozesse einfach laufen? Du willst Anfragen nicht nur abarbeiten, sondern verstehen, warum sie entstehen, und das Problem an der Wurzel packen? Dann bist du hier genau richtig.
Du hast Erfahrung in People Operations oder als HR-Generalist:in und weißt, wie man Prozesse reibungslos am Laufen hält, ohne dass der Mensch dabei auf der Strecke bleibt.
Deutsches Arbeitsrecht, Steuerrecht und Lohnabrechnung sind für dich kein Buch mit sieben Siegeln: Du kennst dich richtig gut aus.
Du hast schon Projekte mit Stakeholdern vorangetrieben und kannst zeigen, was sich dadurch verändert hat.
Technik macht dich neugierig: Du verstehst, wie Workflows und Daten zusammenspielen, und willst noch mehr darüber lernen.
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