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.