Intern- AI Engineer

Role Overview

upGrad is building AI-native learning experiences for millions of working professionals globally. As an AI Engineering Intern, you will work directly on LLM-powered products — from prototyping intelligent solutions to improving overall learning experiences. This is a hands-on, builder role for someone who learns fast, ships faster, and is genuinely curious about what AI can do for education.

Responsibilities

• Build and experiment with LLM-powered features — including RAG pipelines, AI agents, and prompt engineering workflows.
• Develop and test prototypes for personalisation, content generation, and learner engagement use cases.
• Assist in evaluating model outputs for quality, relevance, and safety in an education context.
• Work closely with product managers, learning scientists, and senior engineers to translate learner problems into AI solution briefs.
• Integrate AI modules into existing product workflows using APIs and internal tooling.
• Document experiments, findings, and implementation decisions for cross-functional teams.
• Stay current with developments in LLMs, agentic frameworks, and AI in education.
• Debug, test, and iterate model performance based on user feedback and product metrics.

Requirements

• B.Tech/M.tech/MCA [Pursuing or recently graduated].
• Duration: 3-6 months.
• Stipend: 30,000 per month.
• Strong Python programming skills.
• Hands-on familiarity with LLMs, LangChain, RAG pipelines, or AI agents.
• Basic understanding of model evaluation and deployment concepts.
• Ability to work independently and communicate clearly with non-technical stakeholders.

Skills

• Python
• LangChain
• LLMs
• RAG
• Prompt Engineering