AI Engineering Intern

About M3

A Japanese global leader in the provision of ground-breaking and innovative technological and research solutions to the healthcare industry.

Job Description

Build and ship:

• Own a project end to end: understand the problem, build a working version, get it in front of users, improve it based on what they say.
• Write code that other people can read and maintain. AI-generated or not, it carries your name.
• Demo your work regularly to the product and engineering team, as well as to the business teams who requested it.

Work with the businesses:

• Talk to the people whose jobs your tool touches. Watch how they actually work rather than taking a feature request at face value.
• Translate what you hear into something you can build this week, not next quarter.

AI-augmented development:

• Use agentic AI tools (such as Claude Code) as your default workflow.
• Develop judgment about where these tools help and where they quietly produce garbage. Bring that back to the engineering team.
• Try new tools as they ship and tell us what you found, including the failures.

Requirements & Tech Stack

• Actively pursuing or recently obtained a degree in Computer Science or a related field.
• Hands-on use of at least one AI coding agent to build something, whether a class project, a side project, or a hackathon entry.
• Working knowledge of a programming language: Python, TypeScript, or similar.
• Comfort in a terminal. You should not need a GUI for git.
• Ability to pick up unfamiliar tools by reading docs and trying things.

Preferred

• Web development experience (HTML, CSS, JavaScript, and any modern framework).
• Knowledge of how LLMs work under the hood, not only how to prompt them.
• Anything you have built that other people used, even briefly.