Lead Developer - Agentic AI Platform

Our jobs involve developing, maintaining and integrating state of the art, mission critical solutions for core insurance and record keeping systems, in an international context for a leading European Insurance Group.
The lead developer for Agentic AI Platfrom owns the technical implementation and framework development of the Agentic AI Platform, with a strong focus on Python-based platform components, reusable agentic AI patterns, and developer enablement. The role ensures that the platform codebase is modular, maintainable, secure, extensible, and supports efficient delivery of agentic AI use cases across the organization.
Your Responsabilities
Develop and maintain Python-based platform capabilities, reusable components, SDKs, templates, and developer tools
Design and implement reusable framework capabilities for agents, tools, MCP servers, orchestration, memory, RAG, model access, and evaluation
Implement MCP servers end-to-end, including schema design, validation logic, action execution, error handling, and interface contracts
Extend agent runtime capabilities, including planning, tool-use, routing, reasoning support, context handling, and orchestration patterns
Design and evolve RAG and knowledge access logic, including chunking, retrieval, ranking, generation, and evaluation patterns
Implement agent memory and context management logic, including semantic, vector-based, and session-related memory concepts
Build test frameworks, evaluation harnesses, and enablement tooling that allow developers to test, validate, and improve agentic AI solutions
Ensure clean separation between shared platform/framework capabilities and use case-specific implementation logic
Evaluate, integrate, and extend open-source AI and agentic AI frameworks in line with the platform architecture.
Drive code quality, modularity, refactoring, secure coding, documentation, and maintainability of the platform codebase.
Required Skills
Strong hands-on Python development experience
Experience developing reusable frameworks, SDKs, libraries, platform components, or developer tools
Deep understanding of open-source AI and agentic AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, LlamaIndex, CrewAI, or comparable frameworks
Strong understanding of LLM-based agent architectures, including planning, tool use, routing, orchestration, reasoning patterns, and agent runtime design
Hands-on experience with MCP-style servers, action or skill servers, schema design, validation logic, and execution interfaces
Solid knowledge of RAG systems, including retrieval logic, chunking, ranking, generation, grounding, and evaluation
Good understanding of agent memory concepts, including vector memory, semantic memory, session context, and long-term memory patterns
Strong skills in API design, schema modeling, interface contracts, modular software design, and distributed systems
Experience with test automation, evaluation harnesses, quality gates, CI/CD, secure coding, and code quality practices
Familiarity with knowledge representation concepts such as ontologies, taxonomies, and knowledge graphs is beneficial
Fluent in English (both spoken and written).
Desirable Skills
Fluent in German (both spoken and written)
Knowledge of agile methodologies (Scrum, SAFe)
Experience in the Insurance industry.
Compensation & benefits
Very stable work environment, as part of a large Insurance Multinational Group
Flexible work program, respecting your own private time
Full-time, unlimited employment contract
Attractive remuneration package and lunch tickets
Christmas bonus and performance bonus
Special Days vouchers (Women’s Day, Children's Day, Christmas, Easter)
Private pension and private health insurance contribution
Extra vacation days
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.

Work arrangement
Yes