Description

Design, develop, and maintain Model Context Protocol (MCP) server implementations for AI agent interactions with enterprise systems.

Responsibilities

• Design, develop, and maintain Model Context Protocol (MCP) server implementations for AI agent interactions with enterprise systems.
• Create secure connectors integrating platforms like Splunk, Zendesk, Databricks, and ServiceNow with AI systems.
• Implement communication protocols including JSON-RPC, WebSocket, and REST APIs for reliable data exchange.
• Develop validation schemas, error handling, and retry mechanisms to enhance system performance.
• Collaborate with AI/ML engineers to optimize connector performance and integrate with LLM capabilities.

Required Skills

• 4+ years of experience in software development with production systems.
• Proficiency in Python and/or TypeScript/Node.js.
• Deep understanding of REST APIs and GraphQL.
• Experience with JSON-RPC or similar RPC protocols.
• Knowledge of OAuth 2.0, JWT, and API keys for authentication.

Preferred Skills

• Experience integrating with enterprise platforms such as Splunk, Zendesk, Databricks, or ServiceNow.

Key Skills

Education

Any Graduate