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
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