GenAI Engineer - Engineering Automation (f/m/div.)
Core
Design, prototype, and implement GenAI agents and RAG pipelines to support engineering workflows (requirements analysis, documentation, test interpretation) within regulated automotive environments.
Role type
GenAI Engineer (Engineering Automation)
Builds
AI agents, AI pipelines, and RAG solutions integrated with engineering tools and data repositories.
Domain
Automotive / Industrial Engineering / Generative AI
Deliverable
production ML models
Required skills
GenAI development, agent orchestration, software engineering (Python), LLM integration patterns, embeddings, vector stores, agent frameworks (LangChain, LlamaIndex, CrewAI, etc.), structured/semi-structured data handling
Preferred skills
MLOps, AI observability, evaluation frameworks, model deployment, PLM systems familiarity, automotive compliance standards
Technologies
Python, LLMs, vector databases, LangChain, LlamaIndex, OpenAI Agents, CrewAI, Swarm, MCP, PLM systems
Responsibilities
Design and implement GenAI agents for engineering tasks; Build AI pipelines using LLMs and domain knowledge; Integrate agents with engineering tools and databases; Develop RAG pipelines for engineering data; Ensure agent reliability and compliance; Collaborate with domain experts to evaluate usability; Document architectures and operational guidelines.
Seniority
Mid-Senior, hands-on IC