We are looking for a motivated AI Intern with a robust foundation in Python and a keen interest in building AI-powered applications. The ideal candidate should have hands-on knowledge of LangChain, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs), with an understanding of prompt engineering, vector databases, embeddings, and API integration. Candidates should be familiar with Python libraries such as Pandas, NumPy, and FastAPI/Flask, have basic knowledge of machine learning concepts, and be comfortable working with Git and REST APIs.
Robust problem-solving skills, a willingness to learn, and the ability to work collaboratively in a quick-paced environment are essential. Previous experience with AI projects, chatbots, or generative AI applications will be an added advantage.