AI Engineer (w/m/d)
Tasks
- Build RAG pipelines
- Build and integrate LLM based applications
- Collaborate with AI lab and stakeholders
- Develop agent architectures
- Develop and maintain frontend backend and integration components
- Develop test and operate AI solutions
- Document solutions architecture and operational knowledge
- Ensure security stability and maintainability
- Evaluate AI use cases
- Evaluate new models frameworks and technologies
- Support rollout monitoring and scaling
- Translate business needs into technical targets
Perks/Benefits
- Company car
- Corporate benefits discounts
- Egym Wellpass discount
- Employee referral program
- Jobrad Leasing
- KiTa subsidy
- Mobile work
- Public transport subsidy
- Sports bonus
- Training and development
- Work-life balance
Skills/Tech-stack
APIs | Agent architectures | CI/CD | Cloud Platforms | Compliance | Context engineering | Cyber Security | Data Retrieval | Docker | Evaluation | FastAPI | Fine Tuning | Governance | LLM integration | Machine Learning | Orchestration | Privacy | Prompting | Python | RAG | React | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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