AI Engineering Intern (Remote)

M3USAFort Washington, PA
Remote

About The Position

M3 USA is seeking an AI Engineering Intern to join their team. This role involves owning a project from conception to completion, including understanding the problem, building a functional version, deploying it to users, and iterating based on feedback. The intern will be responsible for writing readable and maintainable code, demonstrating their work regularly to various teams, and collaborating with business stakeholders to understand their needs and translate them into actionable development tasks. A key aspect of the role is utilizing AI-augmented development, specifically agentic AI tools like Claude Code, as the primary workflow, while also developing critical judgment about the effectiveness and limitations of these tools. The intern will also be expected to explore and report on new AI tools as they become available.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • 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.
  • Demo your work regularly to the product and engineering team, as well as to the business teams who requested it.
  • 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.
  • 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.
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