Front-End / Full Stack AI Engineer Internship - CODEX, CLAUDE CODE

Marketeq is hiring a Full-Stack AI Engineer Intern — Frontend-Focused to support frontend implementation, frontend/API integrations, and AI-assisted full-stack development. This is an unpaid, part-time internship for current Master’s degree students or graduates, focusing on building user interfaces and connecting frontend screens to backend APIs using AI-assisted tools.

Responsibilities:

• Build new frontend screens from Figma designs using AI-assisted workflows such as Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, or similar tools
• Translate Figma designs into responsive, high-quality frontend implementation
• Support frontend implementation across local development, staging validation, and production release workflows
• Use AI-assisted coding tools to generate, review, debug, refactor, and finalize frontend and full-stack implementation work
• Integrate frontend screens with backend APIs that have already been built by the engineering team
• Work with authentication flows, API responses, loading states, error states, empty states, validation, permissions, and edge cases
• Maintain and extend existing frontend components, design system patterns, responsive layouts, backend integrations, and project conventions
• Use existing component libraries and project conventions instead of inventing unnecessary new UI patterns
• Use Claude CLI, OpenAI Codex, Cursor, MCP tools, repository documentation, and project context to understand the codebase and complete implementation tickets
• Debug frontend, backend, API, authentication, data flow, and full-stack integration issues
• Self-test your work before QA handoff, including functional behavior, user flows, edge cases, data limitations, acceptance criteria, API behavior, and integration behavior
• Think through error states, empty states, broken flows, failed API calls, invalid inputs, permission issues, and unusual user behavior before submitting work for review
• Contribute to ticket documentation, including user stories, acceptance criteria, edge cases, data constraints, API notes, implementation notes, and AI workflow notes
• Write clean PRs with clear explanations of what changed, what was tested, and what still needs review
• Receive feedback through code reviews, staging reviews, implementation walkthroughs, and QA handoff reviews

Requirements:

• Currently pursuing or completed a Master's degree in Computer Science, Software Engineering, Human-Computer Interaction, Information Technology, Artificial Intelligence, Data Science, Machine Learning, AI Engineering, Computational Analytics, or a closely related technical field
• Must be a current U.S. resident
• Minimum 2 years of total frontend development experience through coursework, internships, freelance work, personal projects, open-source work, bootcamps, or shipped products
• Strong hands-on experience with HTML, CSS, JavaScript, and TypeScript
• Experience with at least one modern frontend framework such as React, Next.js, Vue, Svelte, Angular, or similar
• Experience translating Figma designs into working frontend interfaces
• Experience building responsive layouts for desktop, tablet, and mobile screens
• Experience working with component libraries, design systems, reusable frontend components, or Storybook-style component documentation
• Experience with frontend state management using tools such as React state, Context API, Zustand, Redux, TanStack Query, Apollo Client, or similar
• Experience connecting frontend screens to backend APIs
• Experience consuming REST or GraphQL APIs
• Basic full-stack understanding, including how frontends connect to backend APIs, authentication, databases, services, and deployment environments
• Familiarity with authentication flows such as OAuth, JWT, sessions, or role-based access
• Experience using AI-assisted development tools such as Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, or similar tools
• Ability to guide AI tools to generate useful code, then review, debug, refactor, and validate the code before submitting it
• Comfort working with technical documentation, architecture notes, implementation plans, and existing codebase patterns
• QA-minded approach to frontend and full-stack development, including the ability to self-test work before QA handoff
• Candidates who are frontend-strong and can also handle full-stack integrations
• Candidates who have hands-on experience using Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, or similar AI coding tools
• Candidates who can use AI tools effectively but still understand the code they are shipping
• Candidates who are comfortable guiding AI tools with technical documentation, repository context, implementation plans, and existing code patterns
• Candidates with strong UI judgment and attention to visual detail
• Candidates who can compare their implementation against a Figma design and spot layout, spacing, typography, responsiveness, and interaction issues
• Candidates who understand frontend/API integration, authentication flows, API states, validation, and error handling
• Candidates who can debug AI-generated code instead of blindly trusting it
• Candidates who can test their own work before asking someone else to review it
• Candidates who think through user flows, edge cases, error states, empty states, failed API calls, invalid inputs, permissions, and data limitations before submitting work for review
• Candidates who do not treat QA as the first person responsible for finding obvious frontend or integration issues
• Candidates who can document assumptions, edge cases, implementation notes, and limitations clearly
• Candidates who are comfortable working inside an existing codebase instead of trying to rebuild everything from scratch