AI Engineer (w/m/d)
Tasks
- Build LLM applications
- Build RAG pipelines
- Build agents and tool integrations
- Collaborate with AI and IT stakeholders on model and framework evaluation
- Develop and maintain frontend backend and integration components
- Develop test and operate AI solutions
- Document solutions architecture decisions and operational knowledge
- Ensure secure stable and maintainable solutions
- Evaluate AI use cases
- Perform rollout monitoring and scaling of 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 work
- Public transport subsidy
- Sport bonus
- Training and development
Skills/Tech-stack
APIs | Agent architecture | CI/CD | Cloud Platforms | Compliance | Context engineering | Data Governance | Data Privacy | Deep learning | Docker | Enterprise Security | FastAPI | Fine Tuning | LLM integration | Machine Learning | Model Evaluation | Prompt engineering | Python | RAG | React | Retrieval-Augmented Generation | Tool use | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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