Electronic Arts (EA) is hiring AI Full Stack Interns for its Hyderabad team. This is a strong opportunity for 2027 graduates who want to combine Full Stack Development, Generative AI, LLMs, Agentic AI, and modern software engineering in a global technology environment. The role is hybrid and falls under EA’s Central Technology – IT organization. 🎮🤖💻
📌 Job Details
🎯 Company: Electronic Arts (EA)
💼 Role: AI Full Stack Intern
🆔 Role ID: 215939
🎓 Eligible Batch: 2027 Graduates
📍 Location: Hyderabad, Telangana, India
🏢 Work Model: Hybrid
🧑💻 Worker Type: Intern – Temporary Employee
🏛️ Department: CT – IT
💰 Internship: Paid
🌐 Experience: Internship / Fresher
🔧 Primary Areas: Full Stack Development, Generative AI, LLMs, Agentic Workflows
🏢 About Electronic Arts (EA)
Electronic Arts is a global leader in digital interactive entertainment. Founded in 1982 and headquartered in Redwood City, California, EA develops games, content and online services across consoles, PCs and mobile platforms. Its well-known franchises include EA SPORTS FC, Battlefield, Apex Legends, The Sims, Madden NFL, Need for Speed, Titanfall and Plants vs. Zombies. (EA)
For an intern interested in AI and software engineering, this makes EA particularly interesting because the opportunity isn’t limited to traditional web development—it combines modern engineering with emerging AI technologies.
🤖 What Will You Work On?
You may also work on:
🔹 Building responsive UI components using React and TypeScript
🔹 Developing backend APIs using Node.js, Python and FastAPI
🔹 Integrating LLMs into practical applications
🔹 Experimenting with Generative AI tools and model optimization
🔹 Exploring AI-assisted coding practices
🔹 Working with REST APIs and databases
🔹 Using Git for collaborative software development
⭐ Why This Role Is Good for Experience?
For a 2027 graduate, this role can provide unusually broad exposure. Instead of learning only one layer of development, you could potentially work across the frontend, backend, APIs, databases and AI layer.
You can potentially finish the internship with experience in React + TypeScript + Python/Node.js + APIs + LLMs + Agentic AI + Git, creating a strong foundation for future SDE, AI Engineer, Full Stack Engineer or GenAI Engineer opportunities.
🧠 Skills Required
📌 Programming: Python, JavaScript, TypeScript or Java
📌 Frontend: React, HTML5, CSS3, TypeScript
📌 Backend: Node.js, Python, FastAPI
📌 AI/ML: LLM APIs, Generative AI, basic ML concepts
📌 Agentic AI: Tool calling, workflows and prompt design
📌 Computer Science: DSA, OOP, functional programming and software design
📌 API Development: RESTful APIs and JSON
📌 Database: SQL or NoSQL fundamentals
📌 Tools: Git/GitHub and basic development workflows
📌 Soft Skills: Curiosity, problem solving, communication and willingness to learn
💰 Salary / Stipend Range
The exact stipend is not stated in the job details provided by EA. A current third-party listing reports an estimated ₹3 lakh–₹6 lakh annualized compensation range for this internship, but this should be treated as an indicative estimate rather than an officially confirmed EA stipend.
📝 Expected Interview Rounds at EA
🔹 Round 1 – Online Assessment: Programming, logical reasoning, CS fundamentals and potentially basic coding/DSA.
🔹 Round 2 – Technical Interview: OOP, data structures, algorithms, JavaScript/TypeScript or Python, APIs and database fundamentals.
🔹 Round 3 – AI/Project Discussion: Expect questions about your GenAI/LLM projects, API integration, prompts, model behavior and how you designed your solution.
🔹 Round 4 – Full Stack / System Discussion: React, backend APIs, authentication, database design and how frontend and backend communicate.
🔹 Round 5 – Managerial/Behavioral: Your learning mindset, teamwork, communication, ownership and interest in EA’s technology environment.
🎯 Preparation Tips
🔥 Build one LLM-powered full-stack project: Don’t prepare only theoretical AI concepts. Build a small React + FastAPI/Node.js application that calls an LLM API.
🤖 Understand tool calling: Since the JD specifically mentions agentic workflows and tool calling, learn how an LLM can decide when to invoke external functions/APIs.
⚛️ Practice React + TypeScript together: Be comfortable with components, props, state, hooks, asynchronous API calls and TypeScript interfaces.
🐍 Strengthen FastAPI: Create simple GET/POST endpoints, request models, error handling and API integration.
🧩 Revise DSA: Focus on arrays, strings, hash maps, stacks, queues, trees, sorting, searching and basic complexity analysis.
🔗 Understand REST: Know HTTP methods, status codes, JSON, authentication basics and how a React frontend communicates with a backend.
💡 Know your AI project deeply: Be ready to explain why you selected a model/API, how prompts were designed, limitations encountered and how you evaluated the output.
📄 Resume Tips for This EA Role
Your resume should look like an AI Full Stack Engineer-in-training, not simply a generic student resume.
🚀 Put React/TypeScript + Python/Node.js + LLM/GenAI prominently in your technical skills.
🤖 Add at least one project where you actually integrated an LLM API rather than simply writing “Interested in AI.”
🔧 Mention specific implementation details such as REST APIs, FastAPI, LangChain, tool calling, Git, SQL/NoSQL where genuinely applicable.
📊 Include measurable project outcomes—for example, response time improvements, number of API integrations or users tested.
🎓 Clearly mention your 2027 graduation year, degree and specialization.
📩 How to Apply?
👉 Application Link: Click Here
Interested candidates should apply through EA’s official careers platform and search for Role ID 215939 – AI Full Stack Intern, Hyderabad. EA’s careers portal lists opportunities across its Technology and EA Studios organizations.
🚀 Final Takeaway
The EA AI Full Stack Intern opportunity is particularly attractive for 2027 graduates who want to enter the intersection of software engineering and Generative AI. The combination of React, TypeScript, Python/Node.js, FastAPI, LLM APIs, LangChain and agentic workflows can provide a strong foundation for the next generation of AI-enabled software development.
