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As a Senior AI Engineer (m/f/d), you take technical leadership in our GenAI projects. You decide how AI agents are built, tested, and put into production, advise clients on make-or-buy decisions, and make your team faster with AI coding tools.

Responsibilities

End-to-end ownership of architecture, development, and go-live of AI agents and LLM applications

Architecture of agentic systems: multi-step workflows, tool use, retrieval-augmented generation, and model selection and switching based on data protection, cost, and accuracy

Establish evaluation and guardrails as standard: solid quality evidence before every go-live and traceability for auditors and regulators

Technical sparring for clients and Strategy: make-or-buy, effort, risk, compliance, and implementation options

Lead workshops with business teams and management and make complex systems understandable for every audience

Set engineering standards for agentic work: code reviews, workflows with AI coding agents, mentoring, and building knowledge in the team

Own security and data protection concepts for AI in regulated environments, including operation in the client's environment

Qualifications

5+ years of experience in software development, of which >2 years in a leading or architectural role

Deep hands-on practice with LLM applications in production: RAG, tools/agents, evaluations, and guardrails

Excellent TypeScript skills (e.g. React, NestJS) and experience designing APIs and system integrations

You work with AI coding agents (e.g. Claude Code, Codex, Cursor) as a matter of course and know how a team ships quickly and cleanly with them

You get to grips with unfamiliar system landscapes quickly and spot risks before they become problems

Confident in cloud and on-premise environments, integration into existing enterprise IT, and operating security-relevant systems

A strong ability to translate technical complexity for business stakeholders up to executive management

Willingness to work on-site with our clients

Nice to Have

Experience in regulated industries such as banking, insurance, or the public sector with heavy compliance and audit requirements

Experience running open-weight models, fine-tuning, or building evaluation environments for agents

Open-source contributions, publications, or talks on agents and applied AI

What We Offer

Scope to shape things: direct influence on how we build, test, and run AI agents – and on portfolio and client projects

Work at the forefront of generative AI: the newest models and techniques, deployed where reliability is mandatory

Leadership responsibility for project teams and active mentoring of junior colleagues

The opportunity to build thought leadership (publications, conferences, talks)

Close collaboration with management and C-level clients

Long-term development prospects toward a partner role / tech lead / practice lead

Attractive, performance-based compensation and benefits

Case-team events & employee benefits (company fitness, mobility)

Don't tick every box? Results from your projects convince us more than a complete checklist. If you want to build AI solutions that actually run, we want to hear from you.