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

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 ·

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