Google Agentic AI Engineer

• Design, develop, and deploy Agentic AI solutions using Google ADK, Vertex AI, Agent Builder, and Gemini Models.
• Build multi-agent systems, agent orchestration, memory management, tool/function calling, and enterprise AI workflows.
• Develop RAG solutions using Vertex AI Search, Vector Search, and enterprise knowledge sources.
• Integrate AI agents with Salesforce, ServiceNow, SharePoint, Jira, Confluence, REST APIs, and other enterprise systems.
• Deploy and manage AI applications on Google Cloud Platform (Cloud Run, GKE, Vertex AI) with monitoring, observability, CI/CD, and security best practices.
• Implement AI governance, security, guardrails, DLP, and Responsible AI practices.
• Mentor engineering teams, conduct architecture reviews, and drive Agentic AI best practices.

---

• Google Agent Development Kit (ADK)
• Vertex AI, Vertex AI Agent Builder, Agent Engine
• Gemini Models & Gemini API
• Agentic AI / Multi-Agent Systems
• RAG, Vector Databases, Knowledge Graphs
• Python & REST APIs
• Google Cloud Platform (Google Cloud Platform)
• Kubernetes (GKE), Cloud Run, Docker
• CI/CD (GitHub Actions), Terraform (preferred)
• BigQuery, Vertex AI Search, Vector Search
• LangGraph, LangChain, CrewAI, LlamaIndex (preferred)
• AI Security, Governance, MLOps/LLMOps
• Software Engineering with  GenAI/Agentic AI experience

Google Agentic AI Engineer1Google Cloud Platform,genai,Vertex AI,Agentic AI,Google Agent Development Kit (ADK),Vertex AI Agent Builder,Gemini ModelsN/AContractUnited States