Xsolla Logo

Xsolla

AI-First Engineering Intern

Posted 15 Days Ago
Be an Early Applicant
In-Office
Montréal, QC, CAN
Internship
In-Office
Montréal, QC, CAN
Internship
Work as an AI-focused engineering intern building AI tooling and proof-of-concept integrations on Xsolla's APIs/SDKs. Ship production-facing code, use agentic coding tools, collaborate with senior engineers, demo weekly, and accelerate internal and customer-facing AI features.
The summary above was generated by AI

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. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.

Why This Role Exists

Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building.

You'll work on two things:

  1. Internal AI initiatives – helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone.

  2. Proof-of-concept builds on our own APIs – showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought.

This isn't a shadow-and-observe internship. You'll ship code that goes to customers – internal teams or external players and game developers – working closely with senior engineers and fellow interns across our global regions.

Who You'll Work With

You won't be isolated on an intern-only project island. 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. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week.

What You'll Do

  • Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix.

  • Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development.

  • Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends.

  • Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally.

  • Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week – you'll be expected to bring something real.

  • Work with minimal process. You'll get context, a problem, and a mentor – the rest is on you to figure out and build.

  • Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos.

What We're Looking For

    You build things because you want to, and that 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 just because you were curious. You didn't need an assignment to make it happen.

  • Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something – not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked – not someone who fires off a prompt and hopes for the best.

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

  • Comfort with developing modern full-stack solutions – we care more about how fast you learn than what you already know cold.

  • Open to current undergraduate students, graduate students, and recent graduates of a Computer Science, Software Engineering, or related program. If you're pursuing a graduate degree and don't mind taking on an internship-level role to get hands-on with AI, we want to hear from you.

How to Apply

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

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

    2. A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) 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 whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter).

Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
 
Criminal History Consideration:
For the AI-First Engineering Intern, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
 
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
 
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [email protected].

Xsolla Montréal, Québec, CAN Office

Montréal, Canada

Similar Jobs

2 Hours Ago
Remote or Hybrid
CA
Senior level
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Lead cross-team iOS engineering for Neighborhoods across Cash App and Square: define architecture, stay hands-on with SwiftUI/Workflow codebases, deliver integrated loyalty/ordering features, mentor engineers, and adopt AI-native workflows to accelerate development and quality.
Top Skills: BazelClaude CodeCombineCursorGooseObjective-CProtocol BuffersSwiftSwift ConcurrencySwiftuiUikitWorkflow
2 Hours Ago
Remote or Hybrid
CA
Expert/Leader
Expert/Leader
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Lead technical direction and architecture for Neighborhoods mobile experiences across Cash App and Square. Drive cross-organizational mobile initiatives, stay hands-on in iOS development, partner with backend/web/Android teams, mentor engineers, and apply AI-assisted workflows to accelerate feature development and quality.
Top Skills: BazelClaude CodeCombineCursorGooseObjective-CProtocol BuffersSwiftSwift ConcurrencySwiftuiUikitWorkflow
Senior level
Gaming • Information Technology • Mobile • Software • Esports
Lead and deliver mixed-methods player research (UXR and consumer insights) for sports titles: plan and run playtests, usability, surveys, telemetry and concept studies; synthesize findings into actionable recommendations; advise product, marketing and commercial teams; manage vendor and cross-functional relationships; deliver on time and on budget; travel as needed.
Top Skills: PythonQRSASSpssTableau

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account