Extracurricular Internship – DevOps & GenAI Engineer for Quality (f/m/div.)
Core
Design, prototype, and implement Generative AI agents and pipelines to support Quality Engineering workflows, including requirements analysis, test interpretation, and failure analysis within manufacturing environments.
Role type
GenAI Engineer (Quality Engineering)
Builds
AI agents, RAG pipelines, and integration layers connecting LLMs with engineering tools and data repositories.
Domain
Automotive manufacturing / Quality Engineering / Generative AI
Deliverable
production ML models
Required skills
GenAI development, agent orchestration, LLM integration, embeddings, vector databases, RAG architectures, Python, API development, microservices
Preferred skills
MLOps, AI observability, evaluation frameworks, PLM systems, automotive compliance standards
Technologies
LangChain, LlamaIndex, OpenAI Agents, CrewAI, Swarm, MCP, Python, LLMs, Vector Databases
Responsibilities
Identify opportunities for GenAI impact on Quality Engineering standards; Design and implement GenAI agents for engineering tasks; Build AI pipelines using LLMs and domain knowledge; Integrate AI 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
Intern