AI Intern – Agent Development & MCP Integration

Shift Time: Day shift 10 am -8 pm IST

Work Mode: Work from office (Mohali, PB)

Tech

We are looking for an AI Intern interested in building next-generation AI agents, MCP integrations, and intelligent automation workflows.

• →Develop and test AI agents and agentic workflows.
• →Build and integrate MCP (Model Context Protocol) servers/tools.
• →Integrate LLMs with APIs, databases, and external applications.
• →Build AI-powered automation and multi-step workflows.
• →Package, document, and release MCP tools on relevant marketplaces.
• →Research emerging AI agent frameworks and technologies.
• →Debug, test, and improve AI solutions.

• Basic programming skills in Python or JavaScript/TypeScript.
• Understanding of LLMs, APIs, and Git/GitHub.
• Strong interest in Generative AI, AI Agents, MCP, and automation.
• Good problem-solving and learning ability.

• Bachelor's degree (currently pursuing or recently completed) in Computer Science, Engineering, Mathematics, Data Science, or related field
• Strong foundation in mathematics including linear algebra, statistics, and probability
• Academic or practical projects demonstrating AI/ML knowledge
• Demonstrated interest in artificial intelligence and machine learning through coursework or personal projects

This is an internship position ideal for candidates with minimal to no professional experience in AI development. We welcome fresh graduates and students in their final year of study. Any hands-on experience with machine learning projects, hackathons, or internships in related fields is a plus. Your ability to learn quickly and passion for AI/ML are more important than extensive prior experience.

Experience with LangGraph, LangChain, n8n, RAG, tool calling, Docker, or cloud platforms.

• Proficiency in Python programming
• Strong understanding of machine learning fundamentals (supervised and unsupervised learning)
• Hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn, or similar)
• Knowledge of data structures and algorithms
• Familiarity with SQL and data manipulation
• Ability to work with datasets and perform data analysis
• Problem-solving mindset and attention to detail

• Experience with deep learning frameworks (TensorFlow, Keras, PyTorch)
• Knowledge of NLP (Natural Language Processing) techniques
• Experience with computer vision applications
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Understanding of version control systems (Git)
• Experience with REST APIs and web frameworks
• Exposure to DevOps and containerization (Docker)
• Contributions to open-source projects