AI-First Engineering Intern(shanghai)

1 мес. назад

ChinaWorldwideTraineeOnsite

apiai

Internship focused on building and integrating AI tools and proof-of-concept projects to support 's transition to an AI-first company in the video game industry.

О компании

ABOUT US 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 to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, 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 .com. Why

Обязанности

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 's APIs and SDKs that show internal teams how to move faster using AI-assisted development.
Empower the technology department with AI tools to improve project efficiency.
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.

Требования

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.
Work 3 to 6 months, at least 4 days a week.
Current students or recent graduates in science and engineering fields. Bachelor's, Master's, and Doctoral degrees are all acceptable.

Как откликнуться

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?”