DevOps & GenAI Engineer (f/m/div.)
Core
Design and implement Generative AI agents to support engineering activities like requirements analysis, documentation, test interpretation, and failure analysis within the product development lifecycle.
Role type
Generative AI Engineer (DevOps & Platform)
Builds
AI-powered solutions, RAG pipelines, and AI agent integrations for engineering workflows
Domain
Automotive Electronics / Generative AI / Platform Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, API-based architectures, microservices, Large Language Models (LLMs), embeddings, vector databases, RAG architectures, AI agent frameworks (LangChain, LlamaIndex, OpenAI Agents, CrewAI, Swarm, MCP), cloud-native development, CI/CD pipelines
Preferred skills
MLOps, AI observability, evaluation frameworks, model deployment, PLM systems, regulated industrial environments
Technologies
Python, LangChain, LlamaIndex, OpenAI Agents, CrewAI, Swarm, MCP, JSON, PDFs
Responsibilities
Design and implement Generative AI agents for engineering tasks; Develop AI solutions using LLMs and vector databases; Build and maintain RAG pipelines; Integrate AI agents with engineering tools and platforms; Ensure reliability, traceability, and security of AI solutions; Document architectures and operational guidelines; Collaborate with engineering and security teams to evaluate performance and compliance.
Seniority
Mid-Senior, hands-on IC
