Upgrad

Overview

As an AI Engineering Intern, you will work directly on LLM-powered products — from prototyping intelligent solutions to improving overall learning experiences.

About Upgrad

upGrad is building AI-native learning experiences for millions of working professionals globally.

Requirements & Eligibility

• B.Tech/M.tech/MCA [Pursuing or recently graduated]
• 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, ask the right questions, and communicate clearly with non-technical stakeholders

Key Responsibilities

• Build and experiment with LLM-powered features — including RAG pipelines, AI agents, and prompt engineering workflows — for upGrad's learning and content products.
• 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; propose experiments worth running.
• Debug, test, and iterate model performance based on user feedback and product metrics.