AI Engineer (w/m/d)
Tasks
- Build LLM-based applications
- Build RAG pipelines
- Build agent architectures
- Collaborate evaluate new models frameworks technologies
- Develop integrate APIs and tools
- Develop maintain frontend backend components
- Develop, test, deploy AI solutions
- Document solutions architecture and operations
- Ensure security stability maintainability
- Evaluate AI use cases technically
- Support rollout monitoring and scaling
- Translate business needs into technical solutions
Perks/Benefits
- Company car
- Corporate benefits discounts
- Employee referral program
- Gym membership subsidy
- Jobrad Leasing
- KiTa subsidy
- Mobile work
- Public transport subsidy
- Sports bonus
- Training and development
- Work-life balance
Skills/Tech-stack
API | Agent architecture | CI/CD | Cloud | Compliance | Context engineering | Cyber Security | Data Governance | Data Privacy | Docker | Evaluation | FastAPI | Fine Tuning | Language Models | Large Language Models | Machine Learning | Monitoring | Prompting | Python | React | Retrieval-Augmented Generation | Tool use | TypeScript
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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