MCP AI Engineer Internship

About the Opportunity

• Work with industry professionals to build next-generation AI-powered software products and intelligent applications.
• Gain hands-on experience developing Model Context Protocol (MCP) servers, AI agents, and Agentic AI applications.
• Explore how AI models interact with external tools, APIs, databases, enterprise systems, and real-world applications.
• Contribute to building scalable AI solutions using modern AI/ML frameworks and technologies.

Responsibilities of the Intern

• Design, develop, and implement MCP Servers and MCP Clients to enable AI models to interact with external tools, services, and data sources.
• Work on GenAI, Agentic AI, and LLM-based application development.
• Explore and implement AI agent workflows, tool calling, function calling, and context management.
• Integrate LLMs with REST APIs, databases, enterprise applications, and third-party services.
• Develop and demonstrate working prototypes and features to technical teams and stakeholders.
• Understand Agile methodologies and actively contribute to sprint planning, stand-ups, and team discussions.
• Participate in application development, testing, deployment, and releases using CI/CD best practices.
• Follow clean coding standards, version control, documentation, and software engineering best practices.

Requirements

• Good understanding of Python programming language.
• Ability to write code using Python, Java, or TypeScript.
• Basic understanding of REST APIs, JSON, HTTP, and client-server architecture.
• Familiarity with Git, GitHub, and software development fundamentals.
• Strong interest in learning and implementing Model Context Protocol (MCP), Generative AI, LLMs, and Agentic AI technologies.
• Basic understanding of AI/ML concepts, LangChain, LangGraph, or similar frameworks is an advantage.
• Curiosity to explore AI models, AI agents, tool integrations, and emerging AI technologies.
• Strong problem-solving and analytical skills.
• Good communication skills and ability to work collaboratively in a team.
• Active participation in technical discussions, team meetings, and learning activities.

What You Will Learn

• MCP Architecture, MCP Servers, Clients, Tools, Resources, and Prompts.
• Building AI Agents and Agentic AI workflows.
• LLM integrations with OpenAI, Gemini, Claude, and open-source models.
• Frameworks such as LangChain, LangGraph, and Spring AI.
• API integrations, tool calling, and enterprise AI integrations.
• Docker, CI/CD, cloud deployment, and production-ready AI application development.

This internship is ideal for developers who want to build expertise at the intersection of Software Engineering, MCP, and Agentic AI.