Product Engineering Intern (AI)

About the Role

This is a hybrid role that combines four jobs into one: product/requirements writer, AI-assisted builder, QA tester, and documentation engineer. You will take existing epic overview documents and turn them into precise, build-ready requirements, build features, and QA-test your own work. You will own a feature from "here's the overview" all the way to "it's built, tested, and documented."

Key Responsibilities

• Documentation & Requirements
• Using Claude Desktop, translate epic overview documents into detailed, unambiguous requirements: user stories, acceptance criteria, flows, states, edge cases, and validation rules.
• Keep documentation clear, consistent, and current as features evolve.
• Flag gaps, missing flows, and open questions.
• Build with Claude Code
• Build features primarily by directing Claude Code / the Claude CLI, decomposing work, prompting effectively, and providing the AI with context.
• Integrate and ship working software across the stack, end to end.
• Keep the codebase clean, conventional, and maintainable.
• QA & Testing with Claude Code
• Use Claude Code to write and run tests, and to QA your own work against the acceptance criteria.
• Critically review AI-generated code — read diffs, spot bugs, and verify behavior.
• Document what was tested and how.

Requirements & Tech Stack

• Tools:
• Claude Desktop — for writing and managing documentation and requirements.
• Claude Code / the Claude CLI — primary tools for building and QA-testing.
• Stack: Next.js + Typescript + React + Tailwind CSS, PostgreSQL.
• Deep prior experience with every piece of the stack is not required — being effective with the AI tools and a fast learner is.

Qualifications

• Master's degree in Software Engineering, Computer Science, Human-Computer Interaction, or a closely related field.
• Based in the United States.
• Hands-on experience with Anthropic's Claude tools — specifically Claude Desktop (for documentation) and Claude Code / the Claude CLI (for building and QA). You should be able to show how you've used them to document, build, or ship something real.
• Strong written communication — ability to turn ambiguity into clear, structured requirements and acceptance criteria.
• Ability to read code critically and review it — to spot a bug in AI-generated output.
• Comfort owning a feature end to end: spec → build → test → document.

Nice to Have

• Experience with Next.js, React, or Tailwind.
• Prior product, business-analysis, or QA experience.
• A portfolio, side project, or repo built with AI coding tools.
• Experience with multi-tenant SaaS products.