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.