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 strong 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
- Token protection
- Fail-safe architecture
- Collaborate with AI architects, cloud engineers, security teams, and business stakeholders to deliver enterprise AI solutions.

Required Technical Skills AI & Agent Frameworks
- Strong understanding of Model Context Protocol (MCP)
- Experience building and consuming MCP servers
- MCP protocol fundamentals
- JSON-RPC
- Streamable HTTP
- Tool Discovery
- Session Handshake
- Agent orchestration

Google Cloud & Vertex AI
- Google Cloud Platform (GCP)
- Vertex AI
- Vertex AI Agent Engine
- Agent Development Kit (ADK)
- Gemini Models
- Cloud Run
- IAM
- Service Accounts
- Secret Manager

Authentication & Security
- OAuth 2.0
- OpenID Connect (OIDC)
- Authorization Code Flow
- PKCE
- Refresh Tokens
- Access Token Management
- Per-user Token Forwarding
- Identity Federation
- Enterprise Authentication

Programming
- Python (preferred)
- Experience developing cloud-native AI applications
- REST APIs
- Microservices architecture





DevOps & Cloud
- CI/CD pipelines
- Containerization
- Docker
- Cloud deployment
- Logging & Monitoring
- Production troubleshooting

Enterprise Engineering
- Secure software development
- Scalability
- Reliability
- Observability
- Governance
- Performance optimization

Mandatory Skills
- 5+ years of software engineering experience.
- 2+ years of enterprise AI/LLM/Agent development experience.
- Strong hands-on experience with Google Vertex AI Agent Engine .
- Experience with Agent Development Kit (ADK) .
- Robust knowledge of Gemini Models .
- Experience building and consuming MCP servers .
- Deep understanding of Model Context Protocol .
- Strong knowledge of OAuth 2.0 , OIDC , PKCE , refresh tokens, and enterprise authentication.
- Experience with Cloud Run , IAM , Secret Manager , and service accounts.
- Strong Python programming skills.
- Experience delivering production-grade enterprise AI applications.

Nice to Have
- Experience registering MCP servers and AI agents with Gemini Enterprise or enterprise Agent Registries.
- Experience with Workato or other iPaaS platforms.
- Advanced prompt engineering for AI agents.
- Experience building enterprise internal AI platforms and developer tooling.
- Knowledge of enterprise governance for Agentic AI.
- Experience with multi-agent architectures.

Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Google Cloud certifications are a plus.
- Experience working in enterprise-scale cloud environments.
- Excellent communication and stakeholder management skills.

📌 Senior MCP (Model Context Protocol) Developer / AI Agent Engineer (Hyderabad)
🏢 CriticalRiver
📍 Hyderabad