Generative AI Engineer (all Genders) for Berlin
Tasks
- Architect cloud-native AI systems
- Build RAG pipelines
- Build evaluation pipelines
- Collaborate with cloud teams
- Create technical documentation
- Define guardrails
- Deploy services with Cloud Run
- Deploy with GKE
- Deploy with Vertex AI Agent Engine
- Design multi-agent systems
- Design system instruction
- Ensure secure architecture with IAM
- Implement CI/CD pipelines
- Implement IAM service accounts
- Implement data governance
- Implement function calling
- Implement infrastructure-as-code
- Implement observability tracing monitoring
- Implement structured outputs
- Integrate LLMs via API
- Lead technical workshops
- Mentor engineers
- Orchestrate agent networks
- Perform prompt engineering
- Reduce hallucinations
- Validate schemas
Perks/Benefits
Skills/Tech-stack
Agent Development Kit | Agent Engine | CI/CD | Claude | Cloud Run | Evaluation | Function Calling | Gemini | Google Agent Development Kit | Google Cloud | IAM | Infrastructure as Code | Instruction design | Kubernetes GKE | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Monitoring | OAuth 2.0 | Observability | Prompt engineering | Python | RAG | Service accounts | System Instruction Design | Tracing | Vector Databases | Vertex AI | Vertex AI Agent Engine | “as-code”
Education
N/A
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