AI Agent Engineer (Process Automation & Agentic AI)

We are looking for an AI Agent Engineer to translate identified AI and automation opportunities into working, production-grade solutions. Use cases have been defined at a high level; the next step is to build them — which requires deeper understanding of each process than what is captured today.

This is a stakeholder-facing engineering role. You will spend time directly with the colleagues who execute the work — claims handlers, underwriters, operations specialists, back-office teams — because that is where the real specification lives. The quality of those engagements will directly shape the quality of what you ship.

• Contract duration: Permanent
• Schedule: Full-time (8 hrs/day, Monday to Friday)

Your responsibilities

• Run structured working sessions with end users to understand how the work is actually performed today, including exceptions, manual workarounds, and tacit decision rules

• Translate that understanding into engineerable specifications — process steps, decision criteria, data sources, edge cases, success metrics

• Build prototypes and proofs of concept, demo them back to the same end users, iterate

• Implement AI use cases such as:

  o Data extraction from documents (PDFs)

  o Automated form filling

  o Case classification and routing

  o Decision support

  o Document summarization and transformation

• Integrate AI solutions with internal systems via APIs

• Bring successful prototypes to production — scalable, observable, continuously evaluated, and maintainable.

Required skills:

• Eliciting detailed requirements directly from end users through structured working sessions, and documenting outcomes in a form engineering teams can build upon
• Prompt, Context, and Harness Engineering
• MCP / Agent-to-Agent concepts
• Python and microservices
• Cloud (AWS / Azure)
• API integration experience
• Software engineering fundamentals and TDD
• Evaluation discipline for non-deterministic systems — golden datasets, regression on prompt changes, observability for latency, cost, and quality
• Fluent in English (written and spoken).

How You Work

• Pragmatic and outcome-focused — quick wins over theory
• Treat time spent with end users as engineering work, not overhead
• Fluent across engineering, business, and end-user contexts; can hold technical depth without losing the user's perspective
• Clear, respectful communicator; able to explain technical concepts to non-technical end users and to incorporate their feedback constructively
• Strong ownership combined with an experimentation mindset
• Work within regulated-data constraints — GDPR, PII handling, model governance, no-train clauses.

Desirable skills (Nice to have)

• Knowledge of the Insurance domain
• German language skills.

Compensation & benefits

• Very stable work environment, as part of a large Insurance Multinational Group
• Flexible work program, respecting your own private time
• Attractive remuneration package
• Lunch tickets
• Special Days vouchers (Women’s Day, Children's Day, Christmas, Easter)
• Private pension and private health insurance contribution
• Time off when holidays fall on a weekend (up to 3 days/year)
• Exchange of experience and training with international professionals, as a premise for personal development
• Team building events.