AI Software Engineering Intern (U.S.A Only)

Marketeq Talent

Miami, FLFresher1h agovia LinkedIn

This job at a glance

Who can apply
New grads and up to 1 year
Must know
Product managementFigmaJavaScriptTypeScriptReactNext.js
Work
Remote · internship
Pay
Not stated by the employer.
Listed
Oct 31, 2026 · still open

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About the Internship

Seeking a graduate-level intern specializing in front-end engineering or full-stack product development to transform front-end product screens into functional software within an existing codebase. This role focuses on using Claude Code, Codex, and MCP tools in the terminal for codebase analysis, design and backend documentation review, front-end documentation creation, feature implementation, debugging, and refining production-ready software. Claude may also be used for backend tasks and code reviews. The core responsibility is translating front-end screens, flows, and product requirements into complete working features by considering:

  • Feature behavior
  • User stories
  • Acceptance criteria
  • Edge cases
  • Data limitations
  • Empty, loading, and error states
  • Front-end needs from the backend

Key Responsibilities

  • Work 100% inside a Codex + MCP terminal-based workflow for front-end and full-stack implementation.
  • Use Claude as needed for backend-related work and code review workflows.
  • Translate front-end screens and product requirements into implementation-ready functionality.
  • Create missing front-end documentation based on designs and backend documentation.
  • Write and refine user stories for front-end features.
  • Define and document acceptance criteria for front-end features.
  • Identify and document edge cases, data limitations, backend dependencies, and functional gaps.
  • Define empty states, loading states, validation states, and error states.
  • Build front-end features and supporting full-stack functionality.
  • Review AI-assisted code critically and refine weak implementations.
  • Debug product behavior and identify incomplete or broken experiences.
  • Consider QA, usability, and functional completeness before marking work done.
  • Collaborate with product and engineering leadership on feature execution.
  • Use Google Chrome Developer Tools in the MCP server environment to inspect, debug, and validate front-end functionality.

Requirements & Tech Stack

  • Master’s degree required in one of the following or a closely related field: Software Engineering, Computer Science, Front-End Development, Full-Stack Development, Artificial Intelligence, Data Science, Analytics.
  • Prior hands-on experience with Figma, Claude Code, and Codex.
  • Prior hands-on experience with MCP server integrations.
  • Comfortable working in a vibe coding workflow.
  • Strong front-end development experience.
  • Strong QA mindset.
  • Ability to translate front-end screens into real functionality.
  • Ability to create missing front-end documentation from designs and backend documentation.
  • Ability to write user stories, acceptance criteria, edge cases, data limitations, and error states.
  • Comfortable working 100% in the terminal.
  • Able to work inside an existing codebase.
  • JavaScript / TypeScript.
  • React, Next.js, or similar front-end frameworks.
  • Front-end architecture and component-based development.
  • APIs and backend integration patterns.
  • Debugging and validating application behavior.
  • Product-minded front-end implementation.
  • Terminal-based development workflows.
  • Strong analytical and problem-solving ability.
  • Strong attention to detail.

Preferred Qualifications

  • Full-stack product development experience.
  • Working inside existing production codebases.
  • Front-end QA or product QA thinking.
  • Writing implementation documentation before development begins.
  • Identifying API and data constraints that affect front-end behavior.
  • Refining UI flows based on real product logic.
  • Repository-aware AI tooling and documentation-driven development workflows.

Internship Details

  • Duration: 4–6 months
  • Commitment: 15–20 hours per week
  • Location: 100% remote
  • Compensation: Unpaid internship

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