Electronic Arts (EA) – Software Engineer I (AI Engineer)

Job Description

Electronic Arts (EA), one of the world's leading gaming and interactive entertainment companies, is hiring a Software Engineer I (AI Engineer) to join its EA Digital Platform (EADP) organization in Hyderabad. This role presents an exciting opportunity for aspiring AI engineers and software developers to work on cutting-edge technologies that power some of the most popular gaming experiences globally. As part of EA’s platform engineering team, you will contribute to building intelligent systems, AI-driven applications, cloud-native services, and automation platforms that support millions of players worldwide. The position is ideal for candidates passionate about artificial intelligence, machine learning, cloud computing, backend engineering, and next-generation digital experiences.

As a Software Engineer I, you will collaborate with experienced engineers, architects, and AI specialists to develop scalable AI solutions that enhance developer productivity, automate engineering workflows, and improve platform reliability. The role involves working with advanced technologies such as Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, cloud platforms, APIs, and distributed systems. You will participate in the design, development, testing, deployment, and optimization of intelligent applications while gaining hands-on experience with enterprise-scale engineering challenges. This opportunity allows you to build technical expertise while contributing to innovative solutions that drive the future of gaming technology.

The EA Digital Platform team focuses on innovation, learning, and collaboration, providing engineers with an environment where creativity and experimentation are encouraged. You will gain exposure to cloud-native architectures, machine learning workflows, AI platform services, automation frameworks, and scalable backend systems. By joining EA, you will become part of a global technology organization dedicated to delivering exceptional gaming experiences while empowering engineers to explore emerging technologies and solve complex technical problems. This role serves as an excellent foundation for building a successful career in artificial intelligence, software engineering, cloud technologies, and game platform development.

Roles & Responsibilities

• Assist in developing AI-powered tools, automation solutions, and intelligent applications that improve engineering productivity and operational efficiency.

• Contribute to the design, development, and deployment of machine learning and Generative AI solutions across platform engineering initiatives.

• Support the implementation of Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) pipelines, and AI-powered workflow automation.

• Develop, test, and optimize scalable backend services, APIs, and cloud-native applications that support EA’s platform ecosystem.

• Analyze application logs, monitoring metrics, test results, and operational data to identify performance issues and improve system reliability.

• Collaborate with software engineers, AI specialists, product teams, and platform architects to support feature development and technical problem-solving.

• Participate in cloud infrastructure management, deployment automation, monitoring activities, and platform operations related to AI services.

• Assist in implementing automation workflows that enhance system scalability, deployment efficiency, and service performance.

• Document technical solutions, project progress, system designs, and engineering learnings to support knowledge sharing and team collaboration.

• Follow software development best practices, coding standards, security guidelines, and compliance requirements throughout the development lifecycle.

• Explore emerging AI technologies, machine learning frameworks, and cloud platforms to identify opportunities for innovation and process improvement.

• Present project updates, technical findings, and learning outcomes to mentors, team members, and stakeholders when required.

Requirements & Eligibility

• Recently completed a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Software Engineering, or a related discipline.

• Basic programming knowledge in Python, Java, SQL, or similar languages commonly used for software development and AI applications.

• Understanding of software engineering fundamentals, data structures, algorithms, object-oriented programming, and debugging techniques.

• Familiarity with Machine Learning, Deep Learning, Artificial Intelligence, or Generative AI concepts through coursework, projects, or internships.

• Exposure to Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, vector databases, or related AI technologies is advantageous.

• Basic knowledge of cloud computing platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).

• Familiarity with containerization and deployment technologies including Docker, Kubernetes, and cloud-native application architectures.

• Understanding of APIs, RESTful services, microservices architecture, and distributed systems concepts.

• Strong analytical and problem-solving abilities with a passion for learning advanced AI and cloud technologies.

• Ability to work effectively in collaborative team environments while managing multiple tasks and priorities.

• Excellent communication, presentation, and interpersonal skills with the ability to explain technical concepts clearly.

• Demonstrated curiosity, adaptability, creativity, and willingness to explore innovative solutions to engineering challenges.

• Experience working on academic projects, hackathons, research initiatives, or internships related to AI, machine learning, cloud computing, or software development will be beneficial.

Expected Salary

The expected salary for a Software Engineer I (AI Engineer) at Electronic Arts (EA) in Hyderabad typically ranges between ₹8 LPA and ₹15 LPA, depending on academic background, technical expertise, internship experience, project portfolio, and knowledge of AI and cloud technologies. Candidates with hands-on experience in machine learning, Generative AI, Python development, cloud platforms, and scalable software engineering projects may receive compensation toward the higher end of the range, along with performance bonuses, wellness benefits, learning opportunities, and long-term career growth within EA.

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