Validation Engineer - Context, Semantics & Memory | Informatiker (m/w/d)
BMW Group
Job Summary
As a Validation Engineer specializing in Context, Semantics, and Memory at the BMW Group, you will play a pivotal role in shaping the future of automotive AI. Your day-to-day work involves designing and operating knowledge graphs and graph databases to capture complex domain knowledge, including toolchain topology and operational incidents. You will build sophisticated context-engineering pipelines to supply LLM-based agents, implement feedback loops that allow agents to learn from outcomes, and develop ontologies to ensure consistent semantic modeling across the organization. You will also architect agent memory systems and optimize retrieval quality to ensure low-latency, cost-efficient performance at scale. This role requires a strong background in Computer Science or AI, with specific experience in knowledge-graph engineering and LLM systems. You will thrive in an environment that values innovation, professional growth, and the opportunity to work on cutting-edge mobility solutions. This position offers a unique chance to work on petabyte-scale automotive data within a collaborative, highly professional team environment.
Required Skills
Education
University degree in Computer Science, Information Science, AI/ML, or a related field.
Experience
- 1-3 years of professional experience in knowledge management, knowledge-graph engineering, or context engineering for AI/LLM systems.
- Professional experience in high-level programming (C++, Java, Kotlin, or Python).
- Practical experience in building and querying knowledge graphs and integrating them with LLM-based retrieval.
- Experience in systems design for knowledge-intensive or retrieval-heavy architectures.
Languages
Additional
- Must be eligible to work in the relevant location. The recruitment process includes an online test followed by technical interviews.
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