Software Engineer Intern (AI-Native Engineering) at Chegg IndiaJasola, New Delhi (Delhi) 6 LPA (Est.StipendEquivalent) B.E. / B.Tech / M.E. / M.Tech / MCAPosted Date: June 19, 2026 Apply Before: August 18, 2026About Chegg & Chegg IndiaChegg is a publicly-held, globally dominant educational technology giant based in California, USA, traded on the NYSE under the symbol CHGG. With a strict and passionate focus on putting students first, Cheggs core mission is to empower every single student to achieve their absolute best in school, college, and beyond. By offering affordable textbook rental models, virtual expert homework assistance, and specialized tools under Chegg Study, Chegg Math, Chegg Writing, and Chegg Skills, the company modernizes the learning process to reduce financial stress and maximize learning efficiency.Chegg India acts as a core strategic technological engine driving engineering breakthroughs for the global parent firm. Currently, Chegg is executing a massive structural shift to transform into a completely AI-native learning ecosystem. By investing heavily in purpose-built AI products, deep-learning models, and personalized platforms like the revolutionary AI Coach , Chegg Indias developers build experiences that adapt directly to the learning speed of millions of students globally.Operating from state-of-the-art research offices in regions like Jasola, New Delhi, the engineering team solves high-stakes cloud architecture, back-end development,



and LLM orchestration challenges daily.4.1/5 on Glassdoor 3,000 Global Employees Leading EdTech InnovatorOfficial DesignationIntern - AI-Native Software EngineeringEstimated Compensation6 LPA Equivalent (Stipend)Location & ProgramIn-Office (Jasola, New Delhi) | Full-timeRole Significance & Professional Growth An internship at Chegg India is fundamentally distinct from typical corporate training pathways. Instead of shadowing developers or writing throwaway scripts, you enter as a fully functional contributor. You are tasked with integrating AI-assisted development tools (such as Claude) into your daily engineering workflows to accelerate code cycles.You will write robust, production-ready systems that directly interact with millions of active global users on a daily basis.As an AI-Native Software Engineering Intern, you will gain deep hands-on expertise with highly diversified technical stacks, working closely with senior software architects. The key objective is to learn how to transition classical distributed backend ecosystems into reactive, AI-augmented architectures. Undergoing this rigorous structural training program not only expands your coding boundaries but builds a premier product-focused resume designed for the contemporary AI economy.Detailed Eligibility CriteriaEducational Background: Currently in the final year of, or completed a Bachelors or Masters degree in Computer Science, Software Engineering, Data Science,



or a closely related technical discipline.Graduation Batch: Best suited for students graduating in the 2026 or 2027 cohorts, or recent graduates available for immediate full-time structural internships.Core Programming Language: Strong foundational command of at least one general-purpose programming language, with priority on Python, Java, or Node.js.Theoretical Foundation: Thorough, clear understanding of fundamental Data Structures, Algorithms (DSA), and standard software design principles.Modern Development Tools: Comfort and active interest in utilizing AI-assisted development platforms (e.g., Claude, GitHub Copilot) to optimize coding performance.Familiarity with Git: Solid understanding of collaborative development workflows, branches, commits, and pull requests via Git and GitHub.Analytical Mindset: Strong written and verbal communication skills with a supportive, growth-oriented mindset.Core ResponsibilitiesFeature Delivery & Design: Actively design, develop, test, and ship end-to-end user-facing product features from scratch, spanning the entire production lifecycle.Full-Stack Development: Build responsive interfaces using React.js/Next.js and develop performant, reliable microservices in Spring Boot, Node.js, or Python.Cloud & Infrastructure Integration: Work alongside core infrastructure engineers to scale service applications across cloud environments using AWS services.Data Management: Manage analytical workflows, write performance-optimized SQL statements, and scale data transformations on PostgreSQL or MySQL databases.Quality & Testi .

📌 Chegg India Software Engineer Intern 2026 (Delhi)
🏢 StudyECart Technologies
📍 Delhi