Agentic AI Engineer (Google ADK / GCP)
Tasks
- Architect multi-agent systems
- Collaborate on Gemini Model Integration
- Deploy Agents to Agent Engine
- Develop Deterministic Graph Workflows
- Ensure High Availability Security and Low Latency
- Evaluate and debug agent execution
- Implement CI/CD pipelines for AI applications
- Integrate agent skills and third party tools
- Integrate with Enterprise APIs and Datastores
- Orchestrate Multi Agent Logic using Google ADK
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agent Development Kit | Agent systems | CI/CD | Cloud Run | Cloud Storage | Cloud platform | Deterministic Workflows | Evaluation Frameworks | GitHub Actions | Google Agent Development Kit | Google Cloud | Google Cloud Platform | LLM orchestration | MCP | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Node.js | Python | Secret Manager | State graphs | Terraform | Tool-Calling | TypeScript | Vertex AI
Education
Roles
AI | AI Engineer | Agentic AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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