AI Engineering Intern (Remote)

About M3: A Japanese global leader in the provision of ground-breaking and innovative technological and research solutions to the healthcare industry. The M3 Group operates in the US, Asia, and Europe with over 5.8 million physician members globally via its physician websites which include research. Doctors.net.uk and medlive.cn. M3 Inc. is a publicly traded company on the Tokyo Stock Exchange (jp:2413, NIKKEI 225) with subsidiaries in major markets including the US, UK, Japan, South Korea, and China, and in 2020 was ranked in Forbes' Global 2000 list. The M3 Group provides services to healthcare and the life science industry. In addition to market research, these services include medical education, ethical drug promotion, clinical development, job recruitment, and clinic appointment services. M3 has offices in Japan, UK, France, Germany, Brazil, Sweden, China, USA, and South Korea, as well as India.

Due to our continued growth, we are hiring for a AI Engineering Intern to join M3 USA.

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.

Required

• 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.

M3 reserves the right to change this job description to meet the business needs of the organization