Description

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

This role is on-site.

Responsibilities

• Create secure connectors integrating platforms such as Splunk, Zendesk, Databricks, and ServiceNow with AI systems.
• Implement communication protocols including JSON-RPC, WebSocket, and REST APIs to ensure reliable data exchange.
• Develop validation schemas, error handling, and retry mechanisms to enhance system robustness and performance.
• Collaborate with AI/ML engineers to optimize connector performance and ensure seamless integration with evolving LLM capabilities.

Required Skills

• 5+ years of experience in software development with production systems.
• Proficiency in Python and/or TypeScript/Node.js.
• Deep understanding of REST APIs, GraphQL, and integration patterns.
• Experience with JSON-RPC, WebSocket, or similar RPC protocols.
• Knowledge of authentication mechanisms such as OAuth 2.0, JWT, and API keys.
• Strong background in designing and maintaining scalable backend services.

Preferred Skills

• Experience implementing Model Context Protocol (MCP) servers.
• Previous work integrating enterprise tools like Splunk, Zendesk, or ServiceNow.

Key Skills

Education

Any Graduate