AI-First Engineering Intern

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.

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.

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

A link to a GitHub profile, deployed project, or anything else 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 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).