Intern in IT / Generative AI

About the Role

We are seeking hands-on experience in designing and developing AI-powered solutions, building AI agents, automating workflows, and integrating Large Language Models (LLMs) into practical business use cases.

Key Responsibilities

• Design and develop AI-powered applications to solve real-world business problems.
• Build, test, and orchestrate AI agents for task automation and decision support.
• Work with LLMs, prompt engineering, and Generative AI frameworks.
• Explore Retrieval-Augmented Generation (RAG) and knowledge-based AI systems.
• Integrate AI models with APIs, databases, and external tools.
• Develop AI-driven workflows and experiment with multi-agent systems.
• Test, evaluate, and improve AI solutions for accuracy, reliability, and performance.
• Collaborate on AI-first product development and rapid prototyping.

Requirements & Tech Stack

• Basic programming knowledge in Python.
• Understanding of Artificial Intelligence and Generative AI concepts.
• Familiarity with LLMs, prompt engineering, and AI application development.
• Knowledge of APIs, JSON, and basic data handling.
• Problem-solving skills and a willingness to experiment and learn.
• Good to Have: Experience with LangChain or LangGraph.
• Good to Have: Familiarity with RAG, vector databases, and embeddings.
• Good to Have: Exposure to OpenAI API, Gemini API, or Hugging Face.
• Good to Have: Knowledge of FastAPI, Streamlit, Git, or workflow automation tools.
• Good to Have: Personal projects involving chatbots, AI assistants, or autonomous agents.

Qualifications

• Students, freshers, and early-career professionals interested in AI.
• Developers who enjoy building, experimenting, and shipping projects.
• Curious learners who focus on business use cases rather than just tools.
• Candidates who can learn independently and communicate their ideas clearly.