Generative AI Engineer (all Genders) for Hamburg
Tasks
- Apply IAM service accounts and data governance
- Apply prompt engineering and system instruction design
- Architect cloud-native AI systems on Google Cloud
- Build RAG pipelines with vector databases
- Build evaluation pipelines for quality latency cost
- Collaborate with cloud ad technology and analytics teams
- Conduct technical workshops and mentor engineers
- Create technical documentation and training materials
- Deploy with Vertex AI Agent Engine Cloud Run GKE
- Design multi-agent systems for production
- Ensure secure scalable distributed system design
- Implement CI/CD pipelines and infrastructure as code
- Implement observability tracing monitoring for LLM systems
- Implement structured outputs schema validation function calling
- Integrate Gemini Claude and foundation models via APIs
- Optimize model usage for cost latency reliability
- Orchestrate agent planning routing memory tool integration
- Set guardrails and hallucination mitigation
Perks/Benefits
- Co-working space access
- Dog-friendly offices
- Home-office equipment
- Remote-first
- Skill building support
Skills/Tech-stack
Agent Development Kit | Agent Engine | CI/CD | Claude | Cloud Run | GKE | Gemini | Google Agent Development Kit | Google Cloud | IAM | Infrastructure as Code | LLMOps | Langchain | Langgraph | Monitoring | OAuth 2.0 | Observability | Prompt engineering | Python | RAG | Service accounts | Tracing | Vector Databases | Vertex AI | Vertex AI Agent Engine | “as-code”
Education
N/A
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