AI Engineer (w/m/d)
Tasks
- Build and integrate LLM applications
- Build and maintain RAG pipelines
- Collaborate with AI lab and IT stakeholders
- Develop AI agents and tools
- Develop frontend backend and integration components
- Develop test and operate AI solutions
- Document solutions architecture decisions and operations
- Ensure secure stable and maintainable solutions
- Evaluate AI use cases
- Evaluate new models and frameworks
- Implement cyber security privacy compliance access controls
- Roll out monitor and scale production AI solutions
- Translate business requirements into technical targets
Perks/Benefits
- Company benefits discounts
- Employee referral program
- KiTa subsidy
- Mobile work
- Sports Wellness Bonus
- Subsidized transit
- Training and development
Skills/Tech-stack
APIs | Agent architecture | CI/CD | Cloud | Context engineering | Data Retrieval | Docker | FastAPI | Fine Tuning | LLM integration | Machine Learning | Model Evaluation | Monitoring | Orchestration | Prompt engineering | Python | RAG | React | Retrieval Orchestration | Tool use | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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