AI Engineer (w/m/d)
Tasks
- Build LLM-based applications
- Build RAG pipelines
- Collaborate with AI lab and IT stakeholders
- Develop agents and tool use
- Develop and maintain frontend backend and integration components
- Develop test and operate AI solutions
- Document solutions architecture and operations
- Ensure secure stable and maintainable solutions
- Evaluate AI use cases
- Evaluate new models frameworks and technologies
- Support rollout monitoring and scaling of AI solutions
- Translate business requirements into technical targets
Perks/Benefits
- Company car
- Corporate benefits discounts
- Employee referral program
- Gym membership subsidy
- Health bonus
- Jobrad Leasing
- KiTa subsidy
- Mobile working
- Public transit subsidy
- Training and development
- Work-life balance
Skills/Tech-stack
APIs | Agents | CI/CD | Cloud | Compliance | Context engineering | Cyber Security | Data Governance | Docker | Enterprise Architecture | Evaluation | FastAPI | Fine Tuning | LLM | Machine Learning | Privacy | Prompting | Python | RAG | React | Retrieval-Augmented Generation | 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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