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REQUIREMENT_ID_1488 β€’ 3-DAY_ACTIVE_POLICY

AI Full Stack Intern

Company
Company Featured Tech Partner
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 15,000 per month
Location
Location Remote
Posted Date
Posted Date Today
Data Structures Algorithms Object Oriented Programming Functional Programming React TypeScript JavaScript HTML5 CSS3 Python Node.js Java REST APIs Git SQL NoSQL Machine Learning LLM APIs Generative AI
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Aptitude Practice Questions Open Resource β†—
Curated quantitative and logical reasoning problems to sharpen aptitude skills required for the EA online assessment.
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Company Interview Preparation Guide Open Resource β†—
Comprehensive guide covering typical interview patterns, coding challenges, and HR questions for tech roles at EA.
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Comprehensive Interview Prep Resource Open Resource β†—
Detailed notes, mock interviews and tips that help candidates prepare for full‑stack and AI‑focused interviews.
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Algorithm Problem Set Open Resource β†—
Extensive collection of coding problems to practice data structures and algorithms, essential for EA's technical round.

Currently pursuing a Bachelor's degree in Computer Science, Information Technology, Software Engineering or a related field; eligible batch year 2027; minimum 60% aggregate (or CGPA equivalent); no active backlogs; must have legal authorization to work in India; strong academic record in data structures, algorithms and software development.

1
Round 1: Online coding assessment covering DSA and basic aptitude
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Round 2: Technical interview focusing on full‑stack development, AI integration, system design
3
Round 3: HR interview assessing cultural fit, communication skills and internship expectations
Electronic Arts (EA) is one of the world’s most renowned interactive entertainment companies, creating iconic game franchises such as FIFA, Battlefield, The Sims and Apex Legends. With a presence in more than 30 countries, EA blends cutting‑edge technology with creative storytelling to deliver immersive experiences to millions of players. The company invests heavily in research and development, especially in artificial intelligence, to power smarter game mechanics, realistic NPC behavior, and personalized player experiences. EA’s culture encourages innovation, collaboration, and continuous learning, making it an attractive destination for fresh talent eager to work on industry‑leading projects. The AI Full Stack Intern role is designed for engineering students who want to bridge the gap between modern web development and generative AI. As an intern, you will be part of a cross‑functional team that builds end‑to‑end web applications, integrates large language model (LLM) APIs, and delivers scalable solutions that can be used internally or by EA’s player community. You will gain hands‑on experience with both front‑end frameworks and back‑end services while learning how AI can enhance user interaction, content generation, and data‑driven decision making. Key Responsibilities: 1. Design, develop, and maintain full‑stack web applications using React, TypeScript, and modern JavaScript. 2. Implement backend services in Python, Node.js or Java, exposing RESTful APIs for front‑end consumption. 3. Integrate LLM‑based features such as chat assistants, content generators, or recommendation engines. 4. Write efficient database queries and manage data in SQL or NoSQL stores. 5. Collaborate with product managers, designers, and senior engineers to translate requirements into technical solutions. 6. Participate in code reviews, testing, and debugging to ensure high‑quality deliverables. 7. Contribute to documentation, API specifications, and deployment pipelines. 8. Stay updated with the latest AI research, generative models, and web technologies, proposing improvements where relevant. 9. Assist in performance optimization and scalability planning for production‑grade services. Tech Stack: React, TypeScript, JavaScript, HTML5, CSS3, Python, Node.js, Java, REST APIs, Git, SQL/NoSQL, Machine Learning libraries, LLM APIs (e.g., OpenAI, Cohere), Docker (optional). Growth Path: Successful interns often receive full‑time offers as Software Engineers, AI Engineers, or Front‑End Specialists. The role provides exposure to EA’s global engineering practices, mentorship from senior AI researchers, and the chance to contribute to products that reach millions of gamers worldwide. Continuous learning opportunities, internal hackathons, and access to EA’s research labs accelerate career progression. Why Join EA: Working at EA means being part of a legacy brand that shapes the future of interactive entertainment. Interns enjoy a vibrant, inclusive environment, flexible work arrangements, and the chance to experiment with state‑of‑the‑art AI tools. The experience not only enriches technical skills but also builds a portfolio that stands out in the competitive tech landscape.

Featured Tech Partner β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Featured Tech Partner Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Featured Tech Partner and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Data Structures, Algorithms, Object Oriented Programming, Functional Programming, React, TypeScript, JavaScript, HTML5, CSS3, Python, Node.js, Java, REST APIs, Git, SQL, NoSQL, Machine Learning, LLM APIs, Generative AI) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Featured Tech Partner Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Featured Tech Partner as a AI Full Stack Intern?
Preparation Tip: Highlight Featured Tech Partner's market reputation, recent tech innovations, and how your skills in Data Structures directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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