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AI-First Engineering Intern

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Xsolla Inc.
Apprenticeship/Internship position
Listed on 2026-07-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software & AI Developer Internship
Job Description & How to Apply Below

About Us

Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators.

Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. We aim to provide more paths to profits and ways to win for developers. For more information, visit

Why This Role Exists

Xsolla is going all-in on becoming an AI-first company, and we are rolling this out across regions globally by offering AI Engineer Internships. The role focuses on building rather than observing, and you will contribute by shipping code that goes to customers – internal teams or external players and game developers – in collaboration with senior engineers and fellow interns across regions.

What

You'll Do
  • Internal AI initiatives – help unlock AI tooling and integrations across Xsolla faster than our existing teams can alone.

  • Proof-of-concept builds on our own APIs – demonstrate to product and engineering teams what is possible when AI is a core part of the workflow.

This isn’t a shadow-and-observe internship. You'll ship code that goes to customers and work closely with senior engineers and fellow interns across our global regions.

Who You'll Work With

You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. You will have opportunities to learn production-grade practices and trade ideas, code, and AI workflows with peers during weekly demos.

What We're Looking For
  • You build things because you want to, and you already use AI to do it faster.

  • Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped out of curiosity.

  • Real AI fluency. You have used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something and can explain how you used AI to achieve it.

  • Bias toward action. Given an ambiguous problem, you start building before you ask for a spec.

  • Comfort with developing modern full-stack solutions – we value learning speed over existing deep mastery.

  • Open to current undergraduate students, graduate students, and recent graduates of a Computer Science, Software Engineering, or related program
    . If pursuing a graduate degree and willing to take an internship-level role to gain hands-on AI experience, we want to hear from you.

How to Apply

No take-home assignments, no formal problem sets. We evaluate proof of work, not the ability to complete an assigned exercise. Please include:

  • A link to a Git Hub profile, deployed project, or anything you've built – the more recent and self-directed, the better.

  • A short answer (2-3 sentences, or a 2-minute video/Loom if you'd prefer) to: “What's something hard you built recently, and why did you build it?”

  • We're not grading for correctness or polish. We're looking for evidence of real work and that you built it yourself with AI as a tool, not a ghostwriter.

    Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.

    For any inquiries related to data privacy, please contact:

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