Generative AI Engineer (all Genders) for Hamburg
Tasks
- Apply data governance
- Apply schema validation
- Build CI/CD pipelines
- Build RAG pipelines
- Build evaluation pipelines
- Collaborate with Cloud and Analytics teams
- Create technical documentation
- Define guardrails and fallback strategies
- Deploy with Cloud Run
- Deploy with GKE
- Deploy with Vertex AI Agent Engine
- Design cloud native AI systems on Google Cloud
- Design multi-agent systems
- Ensure secure architecture with IAM
- Implement infrastructure-as-code
- Implement observability tracing monitoring
- Implement structured outputs
- Integrate Gemini and Claude via APIs
- Lead technical workshops
- Mentor engineers
- Mitigate hallucinations
- Optimize model cost and latency
- Orchestrate agent networks
- Perform prompt engineering
- Use function calling
- Use service accounts
Perks/Benefits
- Bring your dog
- Co-working access
- Conference access
- Home-office equipment
- Remote-first
- Skill building support
Skills/Tech-stack
Agent Development Kit | Agent Engine | CI/CD | Claude API | Cloud Run | Function Calling | Gemini API | Google Agent Development Kit | Google Cloud | Google Kubernetes | Google Kubernetes Engine | IAM | Infrastructure as Code | Kubernetes Engine | LLMOps | Langchain | Langgraph | Model Garden | Monitoring | OAuth 2 | OAuth 2 0 | Observability | Prompt engineering | Python | RAG | Schema Validation | Service accounts | Tracing | Vector Databases | Vertex AI | Vertex AI Agent Engine | “as-code”
Education
N/A
Roles
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