AI-First Engineering Intern

You will partner with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. You will build applications and integrations on top of Xsolla's APIs and SDKs to show internal teams how to move faster using AI-assisted development. What you ship is expected to reach real users, whether that is an internal tool an engineering team adopts or a customer-facing integration, not a throwaway exercise. You will use agentic coding tools like Claude Code, Cursor, or similar as your default way of working. You will share what you build in weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week. You will work with minimal process, getting context, a problem, and a mentor, and figure the rest out yourself. You will learn from and collaborate with senior engineers who mentor you on production-grade practices and fellow interns across markets you trade ideas and code with.

Responsibilities

• 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 reaches real users, whether an internal tool or a customer-facing integration.
• Use agentic coding tools such as Claude Code, Cursor, or similar as the default way of working.
• Share what you build in weekly lightning-talk demos.
• Work with minimal process, taking context and a problem and figuring out the build.
• Learn from and collaborate with senior engineers and fellow interns.

Requirements

• Genuine passion for building, with side projects, hackathon entries, open-source contributions, or self-directed work.
• Real AI fluency using tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something.
• Ability to explain how AI was used and how the result was confirmed to work.
• Bias toward action, starting to build on ambiguous problems before asking for a spec.
• Comfort with developing modern full-stack solutions.
• Current undergraduate student, graduate student, or recent graduate of a Computer Science, Software Engineering, or related program.