AI Engineering Intern

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. 

Qualifications

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. 

Additional Information

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

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