Electronic Arts (EA) AI Full Stack Intern 2026: Eligibility, Skills, Projects and How to Apply

Electronic Arts (EA) is offering a paid AI Full Stack Intern opportunity in Hyderabad, Telangana, for students interested in combining web application development with Generative AI. The role sits within EA’s Central Technology – IT department and follows a hybrid work model.

Unlike a conventional full-stack internship focused mainly on websites and APIs, this position also involves building AI-powered workflows, integrating large language models (LLMs), and exploring tools that can make software development more effective.

Candidates pursuing a bachelor’s degree in Computer Science, Information Technology, or a related field can consider this opportunity if they have a foundation in programming, web development, APIs, and practical exposure to AI projects.

EA AI Full Stack Intern: Job Overview

Job detail	Information
Company	Electronic Arts (EA)
Position	AI Full Stack Intern
Role ID	215939
Department	Central Technology – IT
Location	Hyderabad, Telangana, India
Work model	Hybrid
Employment type	Intern – Temporary Employee
Internship	Paid
Reporting manager	Senior Engineering Manager
Qualification	Pursuing a bachelor’s degree in Computer Science, IT, or a related field
Stipend	Amount not specified in the supplied description
Internship duration	Not specified
Application deadline	Not specified

What Will You Work On During This Internship?

The role combines three areas: full-stack engineering, Generative AI integration, and experimentation with emerging development tools.

1. Build AI-powered workflows

The intern may work on agentic workflows, tool-calling capabilities, and integrations with LLMs. These technologies allow an AI application to do more than generate text: it can potentially select an available tool, send it a structured request, use the result, and continue a task.

For example, a project might involve an internal assistant that accepts a question, retrieves information through an approved API, and presents the result through a web interface. This is an illustrative project idea, not a confirmed EA assignment.

Relevant technologies named in the job description include LangChain, OpenAI APIs, and custom model endpoints.

2. Develop frontend components

The role includes developing responsive user-interface components using React and TypeScript.

Candidates should understand how to create reusable components, manage application state, handle user input, communicate with backend services, and display loading states or errors clearly. Familiarity with JavaScript, HTML5, and CSS3 is also relevant.

3. Develop backend APIs

The intern will also work on backend APIs using technologies such as Node.js or Python with FastAPI. Java is listed as an alternative backend language in the broader qualification requirements.

Useful concepts to practise include request and response handling, REST API design, input validation, error handling, authentication basics, and database integration.

4. Explore Generative AI tools

EA also mentions exploring model optimisation techniques, new Generative AI tools, and AI-assisted coding practices. This means candidates should be prepared to think critically about the usefulness and reliability of AI-generated output rather than simply relying on it.

Eligibility Criteria

The supplied job description identifies the following requirements.

• Education: You must be pursuing a bachelor’s degree in Computer Science, Information Technology, or a related field.
• Programming fundamentals: You should understand data structures, algorithms, object-oriented or functional programming, and software design principles.
• Web development: You should be proficient in at least one relevant web development stack, such as React, TypeScript, JavaScript, HTML5, or CSS3.
• Backend programming: You should know at least one backend language, such as Python, Node.js, or Java.
• AI project exposure: You should have hands-on academic or project experience involving machine learning, LLM APIs, or Generative AI tools.
• Development fundamentals: Familiarity with Git, RESTful APIs, and basic SQL or NoSQL database design is expected.
• Learning mindset: The description emphasises curiosity and willingness to learn new technologies.

The supplied description does not specify a graduation batch, minimum CGPA, percentage cutoff, number of required internships, or a minimum number of professional experience years. Applicants should not assume these conditions apply unless EA lists them separately.

Which Skills Should You Prepare First?

You do not necessarily need to master every technology named in the listing. Prioritise the skills that demonstrate you can build and explain a working application.

Frontend: React, TypeScript or JavaScript, HTML, CSS, responsive layouts, component design, and API integration.

Backend: Python with FastAPI or Node.js, REST endpoints, validation, error handling, and basic application architecture.

Generative AI: Calling an LLM API, structuring prompts, processing model responses, handling API failures, and understanding when model output needs verification.

Agentic workflows: Understanding tool calling, defining tools and their input schemas, passing tool results back into a workflow, and preventing uncontrolled or inappropriate actions.

Data and collaboration: Git, SQL or NoSQL fundamentals, and clear documentation of how your project works.

Project Ideas to Strengthen Your Application

A small, complete project is often more useful for demonstrating practical ability than a long list of technologies on a resume. Choose a project you can explain confidently, including its limitations.

Project 1: AI knowledge assistant

Build a web application where users submit questions and receive answers based on a defined collection of documents.

• Frontend: React and TypeScript.
• Backend: FastAPI or Node.js.
• AI integration: An LLM API, with retrieval from a document collection if appropriate.
• What to demonstrate: Clear API design, useful responses, error handling, and how the application deals with unsupported questions.

Project 2: Tool-calling assistant

Create an assistant that can invoke a small set of safe, predefined tools, such as a calculator or a search function over your own sample dataset.

• Define the available tools and their expected input.
• Validate tool arguments before execution.
• Return tool results to the model in a structured format.
• Handle invalid requests and failed tool calls.
• Explain how you limit the actions the assistant is permitted to perform.

This project is particularly relevant because the EA listing explicitly mentions agentic workflows and tool-calling capabilities.

Project 3: Full-stack AI task organiser

Develop a task management application that lets users create, update, and organise tasks, with an optional AI feature that categorises tasks or suggests a summary.

• Create a responsive React interface.
• Build backend endpoints for task operations.
• Store records in a SQL or NoSQL database.
• Integrate an LLM feature through a backend service.
• Document validation, data handling, and failure cases.

For any of these projects, include a README, setup instructions, screenshots if useful, and a concise explanation of your own contribution. If the project uses AI-generated code, be ready to explain and maintain the code yourself.

How to Prepare for the Technical Interview

The exact interview stages for Role ID 215939 are not specified in the supplied description. However, preparing across the following areas will help you discuss the skills the employer has listed.

Programming and computer science

• Practise arrays, strings, hash maps, stacks, queues, searching, and sorting.
• Review time and space complexity.
• Explain object-oriented programming and basic software design decisions.
• Be comfortable solving a problem and discussing edge cases.

Full-stack development

• Explain how a React frontend communicates with a backend API.
• Know the difference between common HTTP methods and status codes.
• Discuss request validation, API errors, and database operations.
• Be able to describe how you would organise a small application.

Generative AI

• Explain how an application sends a request to an LLM API and processes its response.
• Understand the purpose of tool calling and how it differs from a normal text response.
• Discuss hallucinations, latency, API failures, and the importance of validating outputs.
• Be prepared to explain the AI project you have actually built or contributed to.

Project discussion

• What problem did your project solve?
• Why did you choose your technology stack?
• What was the most difficult bug you encountered?
• How did you test the application?
• What would you improve if you had more time?

Avoid claiming experience with a framework or model that you have only read about. A clear explanation of one working project is more credible than an inflated skills list.

Is This Internship Suitable for You?

This opportunity may be a good fit if you are currently pursuing a relevant bachelor’s degree, enjoy building web applications, and want to apply AI APIs to real software workflows.

It may be especially relevant if you have already built a React application, created a backend API, or experimented with an LLM through a college project or personal project.

If you have only studied Generative AI theoretically, start by building a small application that calls an LLM API and connects it to a simple frontend. If your AI experience is stronger than your web development experience, focus on building the complete application rather than only experimenting in a notebook.

Frequently Asked Questions

Is the EA AI Full Stack Intern position paid?

Yes. The supplied job description explicitly describes it as a paid internship. The stipend amount is not stated.

Where is the internship located?

The role is based in Hyderabad, Telangana, India, and is marked as hybrid.

Who is eligible to apply?

The listed education requirement is a bachelor’s degree in progress in Computer Science, Information Technology, or a related field, along with the programming, web development, AI project, API, and database fundamentals described above.

Is prior professional work experience mandatory?

The supplied description does not specify a minimum professional experience requirement. It does ask for hands-on academic or project experience with machine learning, LLM APIs, or Generative AI tools.

Which AI technologies are mentioned?

The description mentions agentic workflows, tool calling, LangChain, OpenAI APIs, custom model endpoints, Generative AI tools, and model optimisation techniques.

Is React mandatory?

React and TypeScript are named for frontend development, while the broader qualification allows proficiency in at least one modern web development stack. Candidates should check the live listing for any updated requirements.

Is the internship duration or stipend available?

Neither the internship duration nor a specific stipend amount is stated in the supplied job description.

What is the application deadline?

The supplied description does not mention a deadline. Check the official EA careers listing for current availability.

APPLY NOW