GenAI Engineer - Engineering Automation (f/m/div.)
Core
Design, prototype, and implement GenAI agents to support engineering workflows including requirements analysis, documentation, test interpretation, and failure analysis.
Role type
GenAI Engineer (Engineering Automation)
Builds
AI agents, AI pipelines, and RAG pipelines integrated with engineering tools and data sources.
Domain
Industrial engineering / Automotive / Software Development
Deliverable
production ML models
Required skills
GenAI development, agent orchestration, Python, LLM integration, embeddings, vector stores, API development, microservices, structured/semi-structured data handling
Preferred skills
MLOps, AI observability, evaluation frameworks, model deployment, PLM systems, automotive/industrial compliance standards
Technologies
LangChain, LlamaIndex, OpenAI Agents, CrewAI, Swarm, MCP, LLMs, vector databases
Responsibilities
Design and implement GenAI agents for engineering tasks; Build AI pipelines using LLMs and domain-specific knowledge; Integrate AI agents with engineering tools and repositories; 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