Marketeq Talent is seeking a Full-Stack AI Engineer Intern — Frontend-Focused to support frontend implementation and AI-assisted full-stack development. The role involves building user interfaces, connecting frontend screens to backend APIs, and utilizing AI tools for development tasks.
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
- Comfort working with Git, branches, commits, pull requests, and code reviews
- Ability to read documentation, think through problems, and work independently while asking thoughtful questions when needed
- Portfolio, GitHub, shipped project, or frontend/full-stack work samples we can review
- Experience with accessibility standards such as WCAG
- Experience with frontend performance auditing
- Experience with CI/CD tools such as GitHub Actions, Vercel, Netlify, Render, AWS, or similar
- Familiarity with error tracking or session replay tools such as Sentry, LogRocket, or similar
- Experience with Playwright, Cypress, Chrome DevTools, Postman, Insomnia, or other testing/debugging tools
- Experience working with design systems or component libraries
- Experience with responsive dashboards, marketplaces, SaaS products, admin panels, or internal tools
- Experience with backend development using Node.js, NestJS, Express, Django, FastAPI, Rails, Spring Boot, or similar
- Experience with databases such as PostgreSQL, MySQL, MongoDB, Supabase, Prisma, TypeORM, or similar tools
- Experience with MCP server integrations, AI agents, prompt engineering, vector databases, embeddings, or repository memory systems
- Experience building automation scripts, development workflows, or AI-assisted engineering pipeline