Internship Opportunity: Generative AI & LLM-based Systems
Start Date: As soon as possible
Duration: 3–6 months (extendable based on performance)
Description:
This internship focuses on building practical and deployable Generative AI systems using Large Language Models (LLMs). We are looking for highly motivated undergraduate or graduate students interested in working on LLM fine-tuning, prompt engineering, Retrieval-Augmented Generation (RAG), and automation of AI-driven applications.
The project aims to move beyond demos and explore how LLMs can be reliably used for real-world, knowledge-intensive tasks. Students will gain hands-on experience with modern GenAI frameworks and develop end-to-end AI systems.
Responsibilities:
- Design and evaluate prompt engineering strategies
- Fine-tune and adapt open-source LLMs for downstream tasks
- Build RAG pipelines using vector databases and document stores
- Develop automated AI workflows and prototypes
- Run experiments and document results
Requirements:
- Strong Python programming skills
- Basic understanding of machine learning and NLP
- Familiarity with LLM concepts such as prompting, embeddings, and fine-tuning
- Experience with HuggingFace, LangChain, or LlamaIndex is a plus
- Interest in building end-to-end AI systems
Application:
Send your CV and a brief motivation to hkasyap.cse@iitbhu.ac.in with the subject: “Intern – Generative AI / LLM Systems”