Salary: 65.000 - 108.000 € per year Requirements: University degree in Computer Science, Information Science, AI/ML, or a related field. 1-3 years of professional experience in knowledge management, knowledge-graph engineering or context engineering for AI/LLM systems. Expert-level programming skills in at least one high-level language (C++, Java, Kotlin or Python). Proficiency in AI-assisted development using coding agents such as Claude Code, GitHub Copilot or OpenCode. Hands-on experience building and querying knowledge graphs (RDF/SPARQL or property graphs) and integrating them with LLM-based retrieval (e.g. GraphRAG, hybrid search). Experience with systems design, particularly for knowledge-intensive or retrieval-heavy architectures. Familiarity with agent memory architectures, ontology design, semantic modelling, graph-based analytics, entity resolution or knowledge-graph embeddings. Responsibilities: Design and operate knowledge graphs and graph databases that capture domain knowledge, toolchain topology, operational incidents, root-cause analyses and lessons learned. Build context-engineering pipelines that dynamically assemble, rank and budget the information supplied to LLM-based agents. Implement feedback loops by coding agents and skills that interact with our toolchain, log outcomes, diagnose failures and write findings back into the knowledge graph. Develop and maintain ontologies and semantic models for the automotive AI domain, ensuring consistent vocabulary across teams and tools. Architect agent memory systems with appropriate consolidation and retention mechanisms. Evaluate and optimise retrieval quality using relevance, coverage, freshness and redundancy metrics, and run experiments comparing retrieval strategies. Contribute to cost-efficient model selection and context-compression strategies to keep latency low and budgets sustainable at scale. Technologies: AI Architect Claude Code Copilot GitHub Java Kotlin LLM Python RDF Security Backbone More: At the BMW Group, everything starts with passion and drives us to reinvent mobility and bring innovative ideas to the roads. We are looking for an engineer to join our platform teams that build AI-based toolchains on petabyte-scale automotive data. We value teamwork, expertise, and enjoyment of work, ensuring every opinion is considered. We offer challenging projects shaping the mobility of tomorrow, comprehensive personal and professional development opportunities, attractive remuneration, job security, flexible working hours, and various additional benefits. last updated 18 week of 2026