Software Engineer Intern AINative Engineering at Chegg India Jasola New Delhi Delhi 6 LPA Est Stipend Equivalent B E B Tech M E M Tech MCA Posted Date June 19 2026 Apply Before August 18 2026 About Chegg Chegg India Chegg is a publiclyheld 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 AInative learning ecosystem By investing heavily in purposebuilt AI products deeplearning 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 stateoftheart research offices in regions like Jasola New Delhi the engineering team solves highstakes cloud architecture backend development and LLM orchestration challenges daily 4 1 5 on Glassdoor 3 000 Global Employees Leading EdTech Innovator Official Designation Intern AINative Software Engineering Estimated Compensation 6 LPA Equivalent Stipend Location Program InOffice Jasola New Delhi Fulltime Role 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 AIassisted development tools such as Claude into your daily engineering workflows to accelerate code cycles You will write robust productionready systems that directly interact with millions of active global users on a daily basis As an AINative Software Engineering Intern you will gain deep handson 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 AIaugmented architectures Undergoing this rigorous structural training program not only expands your coding boundaries but builds a premier productfocused resume designed for the modern AI economy Detailed Eligibility Criteria Educational 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 fulltime structural internships Core Programming Language Strong foundational command of at least one generalpurpose programming language with priority on Python Java or Node js Theoretical Foundation Thorough transparent understanding of fundamental Data Structures Algorithms DSA and standard software design principles Modern Development Tools Comfort and active interest in utilizing AIassisted 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 growthoriented mindset Core Responsibilities Feature Delivery Design Actively design develop test and ship endtoend userfacing product features from scratch spanning the entire production lifecycle FullStack 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 performanceoptimized SQL statements and scale data transformations on PostgreSQL or MySQL databases Quality Testi