onsite
Agentic AI MCP Integration Specialist - Capgemini
Software Engineer
Lead the design and implementation of Model Context Protocol (MCP) integrations, enabling AI agents to securely interact with enterprise systems using Node.js, Python, Azure, GCP, and Mulesoft.
About the role
Key Responsibilities
- Design, develop, and deploy MCP‑based integration solutions that connect AI agents to enterprise platforms and data sources.
- Implement secure, scalable REST APIs and microservices using Node.js and Python.
- Leverage Microsoft Azure and Google Cloud Platform services to host, orchestrate, and monitor integration workflows.
- Integrate with Mulesoft for API management, data transformation, and governance.
- Collaborate with AI, data, and security teams to ensure compliance with privacy and security standards.
- Document architecture, code, and integration flows for maintainability and knowledge transfer.
Requirements
- 3+ years of experience in API integration and cloud platform development.
- Hands‑on experience with Microsoft Azure and Google Cloud Platform services.
- Familiarity with Mulesoft, API management, and data transformation.
- Strong problem‑solving skills and ability to work in a fast‑paced, contract environment.