AI Engineer - UNIQA Agentic AI Platform

This is a position suitable for passionate professionals who want to work for a leading European Insurance Group on a very flexible work schedule.

You will work as part of a multinational group with true, large, enterprise-wide systems, complex architectures and real life constraints (speed, performance, non-stop systems availability) and are going to be part of an agile team aimed at designing and implementing enterprise level solutions.

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

Your responsibilities

• Design, implement, and improve reusable agent patterns and reference implementations for the UNIQA Agentic AI Platform.
• Develop agent workflows for recurring architectures such as supervisor, router, multi-agent collaboration, validation, synthesis, interaction, and exception handling.
• Apply context engineering, prompt design, RAG integration, tool calling, memory, and structured output patterns to reliable enterprise use cases.
• Build and maintain evaluation datasets, automated quality checks, benchmarks, and deployment quality gates for agents.
• Support use case and country teams through hands-on implementation, template adaptation, reviews, and knowledge transfer.
• Identify reusable components from use cases and promote them into centrally governed patterns and libraries.
• Collaborate with platform framework, architecture, integration, security, data, DevOps, and SRE specialists.
• Ensure solutionsare explainable, testable, observable, secure, and aligned with responsible AI and regulatory requirements.

Required skills

• Several years of experience in software engineering, machine learning engineering, applied AI, or generative AI solution development.
• Strong Python skills and hands-on experience building production-oriented services and integrations.
• Practical experience with LLM-based applications and agentic AI frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, LlamaIndex, CrewAI, or similar.
• Deep understanding of context engineering, prompt design, RAG, tool use, structured outputs, memory patterns, multi-agent workflows, and failure handling.
• Experience with LLM evaluation, test automation, quality metrics, guardrails, and iterative optimization.
• Experience with Azure OpenAI or comparable model services, APIs, Git-based development, containers, CI/CD, and observability.
• Ability to translate use case requirements into reusable, governed platform patterns and to coach other development teams.
• Strong analytical thinking, curiosity, software craftsmanship, and English communication 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.