MCP (Model Context Protocol) Engineer

Key Responsibilities

• Strong hands on experience with Python.
• Design and develop MCP tools and services that enable AI agents to interact with enterprise systems.
• Build and maintain REST API and GraphQL integrations to connect internal platforms, commerce systems, and data services.
• Integrate MCP capabilities with internal AI agent frameworks such as AIBT.
• Collaborate with engineering, AI, and product teams to support the company’s agentic commerce strategy.
• Develop scalable, well-documented APIs and tools that allow AI agents to perform contextual actions across systems.

Required Skills

• Strong understanding of REST APIs, GraphQL, and API design principles.
• Hands-on experience with GenAI integrations, AI agents, or LLM-based applications.
• Familiarity with Model Context Protocol (MCP) or similar AI integration frameworks.
• Experience working with microservices, backend services, or integration platforms.

Preferred Qualifications

• Exposure to AI agent frameworks or agent orchestration systems.
• Experience building tools that integrate with LLM platforms or AI SDKs.

Passion for emerging GenAI technologies and developer ecosystems.