AI Engineer Internship

Marketeq is an early-stage software startup building a proprietary SaaS platform. They are seeking an AI Product Engineer Intern to translate requirements, build features using AI tools, and conduct QA testing to ensure quality and functionality.

Responsibilities:

• Using Claude Desktop, read our epic overview documents and translate them 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 before they become problems in the build
• Build features for each epic primarily by directing Claude Code / the Claude CLI — decomposing the work, prompting effectively, and feeding the AI the right context from our docs
• Integrate and ship working software across our stack, end to end
• Keep the codebase clean, conventional, and maintainable
• Use Claude Code to write and run tests, and to QA your own work against the acceptance criteria you wrote
• Carefully review AI-generated code — read diffs, spot bugs, and verify behavior. In an AI-built codebase, disciplined review and testing is the single most important thing that protects quality
• Document what you tested and how

Requirements:

• Master's degree (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 us how you've used them to document, build, or ship something real
• Strong written communication — you can turn ambiguity into clear, structured requirements and acceptance criteria
• The ability to read code critically and review it — to spot a bug in AI-generated output even if you didn't write it line by line
• Comfort owning a feature end to end: spec → build → test → document
• Experience with Laravel, 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