(Senior) AI Product Engineer (m/w/d)
TypeRemote job
LocationRemote
Posted3 hours ago
What You'll DoYou’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 ResponsibilitiesIndependent 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 bringMust-haveMultiple 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 SkillsThe 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 promiseWork Environment & FlexibilityOffice-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
BenefitsFull 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 & CollaborationAgile mindset with open communication - every voice counts
Feedback is part of our culture - we believe in growing together
Fast application processYour 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 ·
Your ResponsibilitiesIndependent 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 bringMust-haveMultiple 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 SkillsThe 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 promiseWork Environment & FlexibilityOffice-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
BenefitsFull 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 & CollaborationAgile mindset with open communication - every voice counts
Feedback is part of our culture - we believe in growing together
Fast application processYour 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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