Full-Stack Engineer Internship Full Time NEW

About the Role

We are 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, graduate-level internship for current Master’s degree students or Master’s graduates only. Applicants must be current U.S. residents and should already have hands-on experience with frontend development, full-stack integrations, and AI-assisted coding tools.

This role is full-stack, but the main focus is frontend development. ou should be comfortable building user interfaces, working with modern frontend frameworks, translating Figma designs into responsive screens, connecting frontend screens to backend APIs, and handling loading, error, validation, empty, and edge-case states.

You will use tools such as Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, MCP tools, or similar AI-assisted development tools to understand documentation, generate implementation plans, build features, debug issues, refactor code, and prepare work for review.

You will work alongside engineering and QA teams, contribute to implementation documentation, and learn how product work moves from requirements to frontend implementation, API integration, staging, QA handoff, review, and release.

Internship Details

Role Type: Unpaid Internship

Schedule: 15–20 hours per week

Duration: 4–6 months

Location: Remote

Eligibility: U.S. residents only

Education Requirement: Current Master’s degree students and Master’s graduates only

Academic Credit: We support academic credit where available through your school or university

Start Date: Immediate availability preferred

Applicants must be current U.S. residents and must be currently pursuing or have completed a Master’s degree. Applicants must be legally authorized to participate in a remote internship in the U.S. Visa sponsorship is not available.

What You’ll Do

• 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 Experience

• 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

Strong Preference For

• 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

What You’ll Learn

• How production frontend and full-stack work moves from design to local development, staging, QA handoff, and release
• How to work inside an existing codebase with established frontend, backend, API, and documentation conventions
• How to use AI-assisted development tools in a real product environment
• How to use Claude CLI, OpenAI Codex, Cursor, MCP tools, and repository context to support real implementation work
• How to improve AI-generated code through review, debugging, refactoring, and staging feedback
• How to connect frontend screens to backend APIs and real data flows
• How to think through frontend and integration quality before formal QA review
• How to document user stories, acceptance criteria, edge cases, data limitations, API behavior, and implementation notes
• How to work with engineering, QA, and product stakeholders
• How to write cleaner PRs and communicate implementation decisions clearly
• How to use AI tools as an engineering accelerator without losing ownership of code quality

Nice to Have

• 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

Who This Internship Is Best Suited For

This internship is best suited for candidates with some real frontend development experience and want to grow into stronger full-stack AI-assisted engineers.

It is especially well suited for candidates who enjoy frontend implementation, responsive layouts, component behavior, Figma-to-code work, API integrations, authentication flows, and AI-assisted development workflows.

This internship is also a strong fit for candidates who want to learn how to use tools like Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, MCP tools, and repository documentation to support real product implementation.

You should have enough experience to understand technical documentation, work through tickets with guidance, ask thoughtful questions, test your own work, and improve your implementation based on feedback.

Application Requirements

• Resume
• GitHub, portfolio, or frontend/full-stack project samples
• 2–3 examples of frontend or full-stack work you personally built
• Short note explaining your experience with Figma-to-code implementation
• Short note explaining your experience with AI-assisted development tools such as Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, or similar tools
• Short note explaining your experience connecting frontend screens to backend APIs, authentication flows, or full-stack product features
• Weekly availability
• Whether your school supports academic credit for internships