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Software Engineer (AI Engineer)
Experience Required
Fresher / 0-1 Years / 1-3 Years
Employment Type
Full-time
Target Batch
Any
Role Category
Frontend / Backend / Fullstack / DevOps / Data Science / QA / Design / Other
How to Apply
Click on the Apply button
Salary / Stipend
8-15 LPA
Skills Recommended
PythonSQLJavaMachine LearningDeep LearningGenerative AILLMsRAGAI AgentsVector DatabasesMLOpsGCPAzureAWS
About the job
Job Description
General Information
Locations
: Hyderabad, Telangana, India
Role ID
214227
Worker Type
Regular Employee
Studio/Department
CT - Infrastructure & Platform
Work Model
Hybrid
Description & Requirements
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
Software Engineer (AI Engineer)
We are EA
Electronic Arts is more than you’ve ever realized. We’re more than a company, or a headline, or even a clever catchphrase – we’re a vibrant community of artists, storytellers, technologists, and innovators working toward a shared vision: to inspire and unite through play.
While headquartered in Redwood City, EA's platform engineering, game development, and publishing operations take place in a network of locations, stretching from Shanghai to Stockholm, Melbourne to Vancouver, Redwood City to Hyderabad. No matter which of our locations you join, you’ll feel the energy and support of EA’s global brand, while immersing yourself in a culture that inspires you to thrive, take risks and dream big.
This is an especially great time for the video game industry, as we’re currently going through an exciting digital transformation. The global gaming audience has also never been bigger, with industry revenue projected to reach $295.6 billion by 2026.
Since its founding in 1982, EA has helped shape the way over 300 million registered players consume and enjoy interactive media. No other company can deliver EA’s portfolio of amazing games and services, across multiple platforms, to players around the world. It is an exciting era in games, and an exciting time to join the team at EA!
The Opportunity Ahead
The EA Digital Platform (EADP) organization drives critical technology innovation and platform capabilities that power a wide range of EA’s games, services, and player experiences globally. As part of this team, interns will contribute to next-generation AI and cloud-native solutions that help scale platform infrastructure, improve developer productivity, and enhance player engagement.
This internship offers an opportunity to work on modern technologies across AI/ML, Generative AI, cloud platforms, automation, and scalable backend systems while collaborating with experienced engineers and mentors. You will gain hands-on exposure to real-world engineering challenges and contribute to building reliable, intelligent, and high-impact AI Platform services used across EA’s ecosystem.
At EADP, innovation, learning, and collaboration are at the core of how we build technology that connects millions of players anytime, anywhere.
Responsibilities:
Assist in building and integrating AI-powered tools and automation solutions to improve engineering efficiency and developer productivity.
Contribute to the development of scalable AI/ML and Generative AI applications, including workflows involving LLMs, RAG pipelines, and intelligent agents.
Support the design, testing, and optimization of backend services, APIs, and cloud-native applications.
Analyze application logs, test results, and system metrics to identify issues and improve overall platform performance.
Collaborate with cross-functional engineering teams to troubleshoot technical problems and support feature development.
Work on automation, monitoring, and operational tasks related to AI Platform products & services, cloud infrastructure, and deployment pipelines.
Document findings, communicate progress updates, and present technical learnings to mentors and team members.
Follow engineering best practices, security standards, and organizational compliance guidelines.
Demonstrate curiosity, ownership, adaptability, and a willingness to learn emerging AI and cloud technologies in a fast-paced environment.
Qualifications:
Recently completed a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Basic programming knowledge in Python, SQL, or Java, with an interest in AI/ML application development.
Familiarity with Machine Learning, Deep Learning, or Generative AI concepts is preferred.
Exposure to technologies such as LLMs, RAG (Retrieval-Augmented Generation), AI Agents, Vector Databases, or MLOps is a plus.
Basic understanding of cloud platforms (GCP, Azure, or AWS. Docker, and Kubernetes is an added advantage.
Interest in building scalable AI platforms, intelligent applications, and data-driven solutions.
Understanding of APIs, backend services, and distributed systems fundamentals is beneficial.
Strong analytical and problem-solving skills with eagerness to learn emerging AI technologies.
Ability to work collaboratively in a fast-paced engineering environment.
Good communication and presentation skills with a proactive and innovative mindset.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
🎯 Why This Role Matters
As a Software Engineer (AI Engineer) at Electronic Arts, you will be at the forefront of solving complex problems that impact millions of users. This is not just about writing code or executing tasks; it is about taking ownership of critical systems, collaborating with top-tier talent, and driving innovation. If you want a role that challenges you to grow rapidly and leaves a lasting impact on the industry, this is it.
⚡ Key Skills Needed
To stand out for this position, you need more than just the basics. Hiring managers for this Software Engineer (AI Engineer) role are looking for:
- ✓ Strong foundational knowledge in core engineering principles.
- ✓ Ability to adapt quickly to the fast-paced environment at Electronic Arts.
- ✓ Proficiency in Python, SQL, Java.
💡 Application Tips
- •Tailor your resume: Highlight specific projects or experiences that align directly with current initiatives at Electronic Arts.
- •Prepare for behavioral rounds: Be ready to discuss times you have handled failure, tight deadlines, or team conflicts.
- •Leverage the AI Assistant: Use the AI Assistant button above to evaluate your resume against this specific Software Engineer (AI Engineer) description before applying.
Candidate Guide
More than a copied JD: use this page to prepare before you apply.
Electronic Arts is hiring for Software Engineer (AI Engineer) in Hyderabad, Telangana, India. This page goes beyond the raw listing so students can understand what the role usually expects, how to prepare for screening, and how to apply more thoughtfully instead of forwarding a resume blindly.
PythonSQLJavaMachine LearningDeep LearningGenerative AILLMsRAG
Company overview
Electronic Arts appears on Campus to Career because the opportunity is relevant for students and early-career candidates who want a clearer view of real hiring demand. When evaluating any employer, students should look beyond the brand name and focus on work quality, reporting structure, product maturity, mentorship, and the kind of ownership the team is likely to trust a new hire with.
A fresher or internship role at Electronic Arts can be valuable when the candidate understands what the business is solving and how the team contributes to that larger outcome. Even before the interview, students should try to learn the company domain, customer type, pace of execution, and whether the role sits close to product, platform, support, data, or delivery.
What this role usually means in practice
Software Engineer (AI Engineer) is likely not just a keyword match. In real hiring, titles often compress multiple expectations into one label. This means the student should read the listing as a signal of day-to-day problem solving, team collaboration, deadline discipline, and the ability to learn new workflows quickly.
The current role is listed as Full-time in Hyderabad, Telangana, India, with Fresher / 0-1 Years / 1-3 Years mentioned on the page. For freshers, the most useful interpretation is: what kind of output will the team expect in the first 30 to 90 days, and what proof can the candidate show that they are ready to deliver it?
- Understand the business problem the role supports
- Map your projects to likely day-to-day work
- Prepare one story about fast learning and one about ownership
Required skills and how to interpret them
The listing highlights skills such as Python, SQL, Java, Machine Learning, Deep Learning, Generative AI, LLMs, RAG. Students should not panic if they are not equally strong in every item. Companies often list an ideal stack, but interviewers usually look for transferable understanding, clarity of fundamentals, and a believable proof-of-work story.
A better preparation strategy is to sort skills into three buckets: already strong, interview-ready but shallow, and currently weak. This prevents overconfidence and also stops students from wasting time revising topics that are unlikely to matter during the first screening round.
- Be ready to explain where you used Python in a project, coursework, internship, or self-study build.
- Be ready to explain where you used SQL in a project, coursework, internship, or self-study build.
- Be ready to explain where you used Java in a project, coursework, internship, or self-study build.
- Be ready to explain where you used Machine Learning in a project, coursework, internship, or self-study build.
- Be ready to explain where you used Deep Learning in a project, coursework, internship, or self-study build.
- Be ready to explain where you used Generative AI in a project, coursework, internship, or self-study build.
- Be ready to explain where you used LLMs in a project, coursework, internship, or self-study build.
- Be ready to explain where you used RAG in a project, coursework, internship, or self-study build.
Eligibility and application readiness
Students should treat eligibility as more than just degree, batch, or marks. Real readiness also includes whether the resume supports the role clearly, whether your GitHub or portfolio can survive a quick recruiter scan, and whether your self-introduction makes logical sense for Software Engineer (AI Engineer).
If the listing mentions a batch requirement, relocation, internship-to-full-time path, or communication expectations, make sure those details are reflected consistently in your resume, application form, and outreach message. Consistency is a major trust signal in early-stage screening.
- Resume aligned to the role and keywords
- Portfolio or GitHub links working correctly
- Projects chosen based on role relevance, not just recency
- Clear answer prepared for “Why this role?”
Salary insight and offer evaluation
The listing currently mentions compensation as 8-15 LPA. Students should still verify fixed pay, bonus, internship stipend, ESOPs, and location-based cost differences on the official employer page or in HR discussions.
For freshers, salary should be interpreted together with learning quality, tech exposure, mentorship, workload, location, and conversion or growth path. A slightly smaller offer with stronger ownership and cleaner learning loops may outperform a bigger offer that provides weak role fit or no meaningful skill depth.
Interview preparation tips for this job
Candidates applying for Software Engineer (AI Engineer) should prepare in layers. The first layer is role fit: why this company, why this role, and what proof supports your application. The second layer is technical or functional depth: the tools, concepts, or workflows most likely to appear in screening. The third layer is behavior and communication: clear explanations, honest ownership, and calm thinking when details are incomplete.
A strong practice method is to prepare a short project walk-through, a role-fit introduction, one debugging or challenge story, and a realistic answer to what you still want to learn. That combination usually performs better than memorizing long theoretical scripts.
- Review two strongest projects deeply, not ten projects weakly
- Prepare role-specific terminology and examples
- Practice concise answers for HR and recruiter rounds
- Revise fundamentals likely connected to the listed skills
Application strategy for better conversion
The best candidates do not just click apply. They adapt. Before submitting, update the top section of your resume, reorder projects if needed, and make sure your strongest evidence matches the narrative for Software Engineer (AI Engineer). If the company uses an external portal, take form fields seriously because ATS filters often read those signals separately from the PDF.
If the route is recruiter email or a direct apply link, use that path professionally. Submit complete information, avoid spammy follow-up, and if you choose to reach out on LinkedIn, mention the role, one or two fit points, and a respectful ask. The goal is to make your application easier to trust, not louder.