Senior MCP (Model Context Protocol) Developer / AI Agent Engineer
Experience
5+ years of software development experience
2+ years of hands-on experience building AI/LLM-based applications or Agentic AI solutions in enterprise environments
Job Summary
We are looking for an experienced Senior MCP (Model Context Protocol) Developer to design, develop, and deploy enterprise-grade MCP servers and AI agents on the Google Cloud ecosystem. The ideal candidate should have robust expertise in Google Vertex AI Agent Engine, Agent Development Kit (ADK), Gemini, OAuth 2.0, Cloud Run, and Python, with a deep understanding of how AI agents securely discover and consume MCP services.
The role involves building secure, scalable, production-ready MCP infrastructure while ensuring enterprise-grade authentication, governance, monitoring, and operational excellence.
Key Responsibilities
Design, develop, and deploy MCP (Model Context Protocol) servers using FastMCP or enterprise integration platforms such as Workato.
Build and manage the complete MCP consumption lifecycle, including:




JSON-RPC communication
Streamable HTTP
Tool discovery
Session handshake
Agent connectivity
Develop and deploy AI agents using Google Vertex AI Agent Engine and Agent Development Kit (ADK).
Integrate agents with Gemini Enterprise and publish/register them for enterprise testing and consumption.
Implement secure OAuth 2.0 Authorization Code Flow with PKCE, refresh tokens, offline access, and per-user token forwarding.
Ensure every agent request executes under the authenticated user's permissions.
Design secure authentication and authorization mechanisms using IAM, service accounts, and Secret Manager.
Build reliable, scalable, and maintainable production-grade AI services.
Monitor, troubleshoot, and optimize MCP servers, AI agents, authentication flows, and runtime behavior.
Implement enterprise governance and security best practices including:
Least privilege access
Secure secret management
Private networking

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