Job description

You choose tools, frameworks, and architecture for your scope. You treat AI as the main way work gets done, and you still own craft: code quality is yours whether you typed it or an agent did.

Your tasks

Own a product or a major feature area end to end: discovery, implementation, quality, and delivery
Turn intent into specifications precise enough for coding agents to execute, then orchestrate and review their output
Decide where AI judgment is acceptable and where the system must be deterministic
Judge work on outcomes and tests, not on whether the implementation looks clever Tell “it passes” from “it is production-ready”
Co-design the solution with the AI Product Builder as a near-peer. Challenge ambiguous or weak specs instead of building them literally
Identify and assess AI use cases in your area on value, feasibility, and risk — and stop the ones that do not hold up
Design and run evaluation for AI-delivered work: test cases, inconsistency, hallucination, and bias
Raise responsible-AI, privacy, and regulatory concerns early. Follow the governance that applies to what you ship
Work with Engineering on integration constraints so what you ship fits the systems it has to live in

Your profile

Critical thinking, proactive problem solving and innovation are key
Strong interest and hands-on experience with AI tools (e.g. Claude, Cursor, MCP), different LLM models and prompting
Proficiency in TypeScript or other languages such as Python, Java, or C#
Proven ownership of a feature area or product slice: you have decided implementation and architecture from the problem, not from a ticket
Fluency directing AI coding agents: you write specs and acceptance criteria, supervise execution, and reject output that is not production-ready
Enough product and customer judgment to challenge a spec that is clear but wrong
A personal standard for code quality and craft, including on AI-generated code
Comfort working with product, engineering, and governance counterparts without waiting to be handed a perfect brief
Fluent German (C1 level) and English (B2 level) proficiency are required
Educational background in Computer Science or a relational discipline is preferred
Experience with RAG pipelines, agent frameworks, vector stores, or orchestration — we grow this with seniority
A track record of cutting rework by making specs unambiguous before agents run
Familiarity with responsible-AI practice and regulation relevant to production software in Europe (including the EU AI Act)
You have evaluated third-party AI components or platforms, not only used them

Your benefits

Work across AI-powered SaaS and cloud-native products, use modern AI tooling daily, and shape pragmatic infrastructure that helps teams ship faster and more safely
Collaboration in an empathetic, appreciative team with room to contribute ideas and take ownership
Individual development opportunities, structured onboarding, and interdisciplinary collaboration
Flexible working models including hybrid work, home office, and mobile working
A modern tech environment and agile ways of working

I look forward to your application

D-49835 Wietmarschen-Lohne

Tel.: 0170-7888740

E-Mail: career@zvoove.com