About the program

Join our team as an AI Agent Developer Intern and gain handson experience in building intelligent AI agents that can interact, reason, and perform tasks autonomously across platforms. In this role, you will design, prototype, and test AI agents using frameworks like LangChain, OpenAI API, or similar tools, while integrating external APIs, data sources, and workflows for intelligent decisionmaking and task execution. Interns will actively participate in code reviews, testing, and model finetuning, collaborating with senior developers and researchers on realworld use cases. To succeed, you should have strong Python programming skills, a basic understanding of LLMs, NLP, or machine learning concepts, and preferably familiarity with tools such as OpenAI API, LangChain, or Hugging Face. This opportunity is open to engineering students, recent graduates, or individuals with a background in computer science, AI, or related fields who are eager to learn, problemsolve, and contribute to cuttingedge AI development.

Perks

Interns will gain hands-on experience in building and deploying AI agents using the latest technologies such as Large Language Models (LLMs), LangChain, Hugging Face, and OpenAI API, while working on real-world use cases. They will receive mentorship from experienced developers and researchers, participate in code reviews, and collaborate on AI-driven solutions that integrate automation, NLP, and intelligent decision-making. On successful completion, participants will be awarded a recognized internship certificate, along with career guidance, placement support, and the opportunity to showcase industry-ready projects in their portfolio.

Who can apply?

Only those candidates can apply who:

1. are from B.Tech. / B.E./ Equivalent,B.Tech. / B.E./ Equivalent
2. and specialisation from Computer and information Science,Computer and information Science
3. are available for duration of 3 Months
4. have relevant skills and interests

Terms of Engagement

Interns are expected to maintain a minimum of 75% attendance and complete all assigned work, including testing, integration, and documentation, within deadlines. Regular evaluations will be conducted to track progress and ensure learning outcomes.

Number of openings

5