Electronic Arts Internship 2026 applications are now open for the position of Software Engineer Intern (AI Engineer) in Hyderabad. This is an excellent opportunity for students and fresh graduates who want to gain practical experience in Artificial Intelligence, Machine Learning, Generative AI, cloud computing, and backend engineering while working with one of the world’s leading gaming and interactive entertainment companies.
As an intern, you will become part of the EA Digital Platform (EADP) team, where you will collaborate with experienced engineers to build AI-powered solutions, cloud-native applications, and scalable platform services that support millions of players worldwide.
Electronic Arts Internship 2026 – Overview
| Particular | Details |
|---|---|
| Company | Electronic Arts (EA) |
| Job Role | Software Engineer Intern (AI Engineer) |
| Job Location | Hyderabad, India (Hybrid) |
| Qualification | B.E./B.Tech./M.Tech in Computer Science, Artificial Intelligence, Data Science or related disciplines |
| Eligible Batch | 2026 / 2027 (Pursuing or Recently Completed) |
| Experience | Freshers |
| Job Type | Internship |
| Stipend | Competitive |
| Application Mode | Online |
About Electronic Arts
Electronic Arts (EA) is one of the world’s largest interactive entertainment companies, creating globally recognized games and digital experiences enjoyed by millions of players. With offices across multiple countries, including India, EA develops innovative technologies that power gaming experiences for over 300 million registered users worldwide.
The EA Digital Platform (EADP) team focuses on building scalable infrastructure, cloud platforms, AI solutions, and developer tools that support EA’s extensive portfolio of games and online services.
Electronic Arts Internship 2026 Responsibilities
As a Software Engineer Intern (AI Engineer), you will work closely with experienced developers and contribute to real engineering projects involving Artificial Intelligence and cloud technologies.
Your responsibilities may include:
- Develop AI-powered tools to improve engineering productivity.
- Build and enhance Machine Learning and Generative AI applications.
- Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and AI Agents.
- Design, develop, test, and optimize backend services and REST APIs.
- Support cloud-native application development using modern engineering practices.
- Analyze application logs, system metrics, and performance data.
- Identify software issues and participate in troubleshooting activities.
- Collaborate with software engineers, data scientists, and cross-functional teams.
- Prepare technical documentation and present project updates to mentors.
Eligibility Criteria
Candidates should meet the following eligibility requirements:
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