Applied AI Engineer (f/m/div.)
Tasks
- Build AI pipelines with LLMs, embeddings, vector databases
- Collaborate with security and compliance teams
- Design GenAI agents for engineering workflows
- Develop RAG pipelines for engineering data
- Document architectures APIs integration points operational guidelines
- Ensure agent reliability traceability safe behavior
- Evaluate usability performance fit for purpose
- Integrate AI agents with tools databases repositories
- Prototype and implement GenAI solutions
Perks/Benefits
- Canteen
- Career progression
- Discounts in partnerships
- Flexible benefits platform
- Flexible work conditions
- Free parking lot
- Free transport
- Health insurance
- Hybrid work system
- Medical office
- Public transport access
- Sports and health activities
- Training opportunities
Skills/Tech-stack
AI Observability | API | CrewAI | Embeddings | JSON | LLM | Langchain | Llamaindex | MCP | MLOps | Microservices | Python | RAG | Retrieval-Augmented Generation | Swarm | Vector Database
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | GenAI Engineer
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