Electronic Arts Hiring Software Engineer I (AI) Hyderabad

Software Engineer (AI Engineer)

Electronic Arts builds entertainment experiences that connect players and fans around the world. Teams across the company include artists, storytellers, technologists, and innovators who collaborate to create engaging games and services. With offices spanning multiple global locations, EA encourages creativity, new perspectives, and an environment where people can grow and experiment.

The gaming industry is currently undergoing major digital transformation, and the global player community continues to expand. Since its founding in 1982, EA has helped shape how hundreds of millions of players experience interactive entertainment across multiple platforms.

The Opportunity

The EA Digital Platform (EADP) organization develops core technology and platform capabilities that power many of EA’s games and services. As part of this team, interns contribute to AI driven and cloud native solutions that help scale platform infrastructure, improve developer productivity, and enhance player experiences.

This role offers hands on exposure to modern technologies across AI and machine learning, generative AI, cloud platforms, automation, and scalable backend systems. You will work with experienced engineers to solve real engineering challenges and help build reliable AI platform services used across EA’s ecosystem.

Responsibilities

• Assist in building and integrating AI powered tools and automation solutions that improve engineering efficiency and developer productivity.
• Support development of scalable AI and generative AI applications, including workflows involving LLMs, RAG pipelines, and intelligent agents.
• Help design, test, and optimize backend services, APIs, and cloud native applications.
• Review logs, test outputs, and system metrics to detect issues and improve platform performance.
• Collaborate with engineering teams to troubleshoot technical problems and support feature development.
• Contribute to automation, monitoring, and operational tasks related to AI platform products, cloud infrastructure, and deployment pipelines.
• Document technical findings, share progress updates, and present learnings to mentors and team members.
• Follow engineering best practices, security standards, and compliance guidelines.
• Demonstrate curiosity, ownership, and a willingness to explore emerging AI and cloud technologies.

Qualifications

• Recently completed a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline.
• Basic programming knowledge in Python, SQL, or Java with interest in building AI or machine learning applications.
• Understanding of machine learning, deep learning, or generative AI concepts is preferred.
• Exposure to technologies such as LLMs, RAG pipelines, AI agents, vector databases, or MLOps is beneficial.
• Familiarity with cloud platforms such as GCP, Azure, or AWS, along with Docker and Kubernetes, is an advantage.
• Interest in developing scalable AI platforms, intelligent applications, and data driven systems.
• Basic knowledge of APIs, backend services, and distributed systems fundamentals is helpful.
• Strong analytical thinking and willingness to learn new technologies in a fast paced engineering environment.