Marketeq Talent→
Frontend-Focused Full-Stack AI Engineer Internship
InternshipRemote
Location
Not specified
Salary
Not listed
Experience
Not specified
Posted
1 day ago
Skills
frontend developmenthtmlcssjavascripttypescriptreactnext.jsvuesvelteangularfigma-to-code implementationresponsive layoutscomponent librariesdesign systemsstorybookfrontend state managementcontext apireduxzustandtanstack queryapollo clientbackend api integrationrest apisgraphql apisauthentication flowsoauthjwtsessionsrole-based accessai-assisted development toolsclaude cliopenai codexcursorchatgptgithub copilotmcp toolsgitcode reviewsdebuggingrefactoringfull-stack understandingapisdatabasesdeployment environmentsqa-minded approachclear documentation skills
Job Description
Summary: Marketeq Talent is hiring a Full-Stack AI Engineer Intern with a focus on frontend development. The role involves building user interfaces, integrating APIs, and utilizing AI-assisted coding tools to support the development workflow.
Responsibilities:
- Build frontend screens from Figma designs using AI-assisted workflows such as Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, MCP tools, or similar tools
- Translate Figma designs into responsive, production-ready frontend implementation
- Support frontend implementation across development, staging, and 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 and authentication flows
- Handle loading, error, empty, validation, permission, and edge-case states
- Maintain and extend frontend components, design systems, responsive layouts, backend integrations, and project conventions
- Use repository documentation, project context, and AI tools such as Claude CLI, OpenAI Codex, Cursor, and MCP tools to understand the codebase and complete implementation tickets
- Debug frontend, backend, API, authentication, data flow, and integration issues
- Self-test work before QA handoff, including user flows, edge cases, API behavior, and acceptance criteria
- Think through broken flows, failed API calls, invalid inputs, permission issues, and unusual user behavior before submitting work
- Contribute to ticket documentation, implementation notes, API notes, and AI workflow notes
- Write clean PRs with clear testing and implementation details
- Receive feedback through code reviews, staging reviews, implementation walkthroughs, and QA handoffs
Required Qualifications:
- 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 related technical field
- Must be a current U.S. resident
- Minimum 2 years of frontend development experience (coursework, internships, freelance work, projects, bootcamps, or shipped products)
- Strong experience with HTML, CSS, JavaScript, and TypeScript
- Experience with at least one modern frontend framework (React, Next.js, Vue, Svelte, Angular, or similar)
- Experience translating Figma designs into responsive frontend interfaces
- Experience building responsive layouts for desktop, tablet, and mobile
- Experience with component libraries, design systems, reusable components, or Storybook-style documentation
- Experience with frontend state management (React state, Context API, Redux, Zustand, TanStack Query, Apollo Client, or similar)
- Experience connecting frontend screens to backend APIs and consuming REST or GraphQL APIs
- Basic full-stack understanding (APIs, authentication, databases, services, deployment environments)
- Familiarity with authentication flows (OAuth, JWT, sessions, role-based access)
- Experience using AI-assisted development tools such as Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, or similar tools
- Ability to use AI tools to generate code, then review, debug, refactor, and validate before submitting
- Comfort with technical documentation, architecture notes, implementation plans, and existing codebase patterns
- QA-minded approach with ability to self-test work before QA handoff
- Comfort working with Git (branches, commits, PRs, code reviews)
- Ability to work independently, read documentation, and solve problems while asking thoughtful questions
- Portfolio, GitHub, or frontend/full-stack work samples for review
Preferred Qualifications:
- Frontend-strong candidates who can also handle full-stack integrations
- Hands-on experience using Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, or similar AI coding tools
- Candidates who can use AI tools effectively while understanding the code they ship
- Comfort guiding AI tools with technical documentation, repository context, implementation plans, and existing code patterns
- Strong UI judgment and attention to visual detail
- Ability to compare implementation against Figma designs and identify layout, spacing, typography, responsiveness, and interaction issues
- Understanding of frontend/API integration, authentication flows, validation, API states, and error handling
- Ability to debug AI-generated code instead of blindly trusting it
- Ability to test work before requesting review
- Ability to think through user flows, edge cases, failed API calls, invalid inputs, permissions, and data limitations before submitting work
- Candidates who do not treat QA as the first line of defense for obvious frontend or integration issues
- Clear documentation skills for assumptions, edge cases, implementation notes, and limitations
- Comfort working within an existing codebase instead of rebuilding systems from scratch
- 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 Sentry, LogRocket, or similar tools
- Experience with Playwright, Cypress, Chrome DevTools, Postman, Insomnia, or other testing/debugging tools
- Experience 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 PostgreSQL, MySQL, MongoDB, Supabase, Prisma, TypeORM, or similar tools
- Experience with MCP integrations, AI agents, prompt engineering, vector databases, embeddings, or repository memory systems
- Experience building automation scripts, development workflows, or AI-assisted engineering pipelines
Required Skills: Frontend Development, HTML, CSS, JavaScript, TypeScript, React, Next.js, Vue, Svelte, Angular, Figma-to-Code Implementation, Responsive Layouts, Component Libraries, Design Systems, Storybook, Frontend State Management, Context API, Redux, Zustand, TanStack Query, Apollo Client, Backend API Integration, REST APIs, GraphQL APIs, Authentication Flows, OAuth, JWT, Sessions, Role-Based Access, AI-Assisted Development Tools, Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, MCP Tools, Git, Code Reviews, Debugging, Refactoring, Full-Stack Understanding, APIs, Databases, Deployment Environments, QA-Minded Approach, Clear Documentation Skills
Benefits: Academic Credit: We support academic credit where available through your school or university
Benefits
Academic Credit: We support academic credit where available through your school or university