AI Engineer (w/m/d)
Tasks
- Build RAG pipelines
- Build and integrate LLM based applications
- Collaborate with AI lab and IT teams
- Develop agent architectures
- Develop frontend backend and integration components
- Develop test and operate AI solutions
- Document solutions architecture and operations
- Ensure secure stable maintainable solutions
- Evaluate AI use cases
- Evaluate new models frameworks and technologies
- Monitor and scale production AI solutions
- Translate business needs into technical targets
Perks/Benefits
- Company car
- Corporate benefits discounts
- EGYM Wellpass subsidy
- Employee referral program
- Jobrad Leasing
- KiTa subsidy
- Mobile working
- Public transport subsidy
- Sports bonus
- Training and development
Skills/Tech-stack
API | Agent architectures | CI/CD | Cloud Platforms | Compliance | Context engineering | Cyber Security | Data Privacy | Docker | FastAPI | Fine Tuning | Governance | LLM | Model Evaluation | Prompt engineering | Python | RAG | React | 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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