Software Engineer II, AI Engineer

Electronic Arts

Hybrid

Quick summary

Work type: Hybrid
Location: Hyderabad, Telangana, India
Posted: 1 day ago
Nearby: 21 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $184k

$124k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $152,150–$214,850.

Based on 240 similar postings.

Employer

About Electronic Arts

Electronic Arts is a global leader in digital interactive entertainment, developing and publishing games for consoles, mobile, and PC under franchises including FIFA, Madden NFL, The Sims, Apex Legends, and Battlefield.

Electronic Arts currently has 149 open roles on FindRole.

Listed pay typically runs $122,300–$170,700 across 81 roles with salary data.

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At a glance

TL;DR · Software Engineer II, AI Engineer

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As a Software Engineer II specializing in AI at Electronic Arts, you will join a dynamic team focused on enhancing engineering efficiency and developer productivity through the development of advanced AI solutions. Your daily tasks will include building and integrating AI-powered tools, applications, and automation systems such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and agent-based systems. You will also develop scalable backend services and APIs on modern cloud platforms like AWS or Azure, ensuring system reliability and performance through continuous monitoring and troubleshooting. Additionally, you will collaborate with cross-functional teams to design, test, and deliver innovative platform capabilities and product features while staying updated with the latest AI technologies and industry trends. Essential skills include proficiency in Python and SQL, experience with containerization tools like Docker and Kubernetes, and familiarity with CI/CD pipelines and modern software delivery practices.

Skills

Python SQL LLMs RAG AI Agents MCP servers Vector databases CI/CD Docker Kubernetes AWS GCP Azure n8n Prometheus Grafana

What you'll do

Develop and integrate AI-powered tools to enhance engineering efficiency.
Create Generative AI solutions, including LLM applications and RAG pipelines.
Build scalable backend services and APIs on modern cloud platforms.
Monitor and troubleshoot application logs for system reliability improvements.
Evaluate and adopt the latest Generative AI technologies and industry trends.

What we're looking for

4+ years of software engineering experience with production-grade applications.
Bachelor's degree in Computer Science, AI, Data Science, Engineering, or related field.
Proficient in Python and SQL for developing scalable and maintainable solutions.
Experience with LLMs, RAG, AI Agents, MCP servers, vector databases, and AI orchestration frameworks.
Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
Knowledge of CI/CD pipelines, automation tooling, and modern software delivery practices.

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