Generative AI Engineer (all Genders) for Vienna
Tasks
- Build RAG pipelines with vector databases
- Build evaluation pipelines for quality latency and cost
- Collaborate with cloud ad technology and digital analytics teams
- Create technical documentation and training materials
- Define guardrails and fallback strategies
- Deploy services with Vertex AI Agent Engine
- Deploy with Cloud Run and GKE
- Design cloud native AI systems on Google Cloud
- Design multi-agent systems
- Implement IAM service accounts and data governance
- Implement LLM observability tracing and monitoring
- Implement serverless architectures
- Implement structured outputs and schema validation
- Integrate Gemini Claude and open models via APIs
- Lead technical workshops and mentor engineers
- Optimize model usage for cost latency and reliability
- Orchestrate agent networks
- Perform prompt engineering and system instruction design
- Reduce hallucinations
- Set up CI/CD pipelines and Infrastructure as Code
- Use function calling
Perks/Benefits
Skills/Tech-stack
Agent Development Kit | Agent Engine | CI/CD | Claude | Cloud Run | Cloud platform | Function Calling | Gemini | Google Agent Development Kit | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | IAM | Infrastructure as Code | Kubernetes Engine | 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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