Agentic AI Engineer – Google ADK/GCP
Tasks
- Architect multi-agent systems
- Build RAG solutions
- Build deterministic graph workflows
- Deploy agents to cloud runtimes
- Evaluate and debug agent execution
- Integrate AI with enterprise APIs
- Integrate agent skills and third party tools
- Monitor and optimize production AI performance
- Orchestrate micro agents with Google ADK
Perks/Benefits
- Financial and income protection benefits
- Medical/Dental/Vision
- Paid time off (PTO)
- Tax-advantaged health care accounts
- Wellness time off
Skills/Tech-stack
API Development | Agent memory | Agent systems | CI/CD | Cloud Run | Cloud Storage | Cloud platform | Function Calling | Google Cloud | Google Cloud Platform | Graph Workflow | IAM | LLM | MCP | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Node.js | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Secret Manager | Testing | Tool-Calling | TypeScript | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Agentic AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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