GenAI Engineer - Engineering Automation (f/m/div.)
Tasks
- Build AI pipelines with embeddings and vector databases
- Collaborate with security and compliance teams
- Design and implement AI agents for engineering workflows
- Develop retrieval-augmented generation pipelines
- Document architectures APIs integration points and operational guidelines
- Ensure agent reliability traceability and safe behavior
- Evaluate usability performance and fit for purpose
- Integrate AI agents with engineering tools databases and repositories
- Prototype and implement LLM based AI solutions
Perks/Benefits
- Canteen
- Career progression
- Discounts on partnerships and products
- Flexible benefits platform
- Flexible work hours
- Free parking lot
- Health insurance
- Hybrid work
- Sports and health related activities
- Training opportunities
Skills/Tech-stack
AI Observability | API | CrewAI | Embeddings | Evaluation | JSON | LLM | Langchain | Llamaindex | MCP | MLOps | Microservices | Model Deployment | OpenAI Agents | Python | RAG | Retrieval-Augmented Generation | Security Compliance | Swarm | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | GenAI Engineer
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