Full-Stack AI Engineer Intern

About the Role
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, 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. You should be comfortable building user interfaces, working with modern frontend frameworks, turning Figma designs into responsive screens, connecting frontend screens to backend APIs, and handling common frontend states such as loading, empty, error, validation, and edge cases.

You will use tools such as Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, MCP tools, or similar AI-assisted development tools to help 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 real product work moves from requirements, to frontend implementation, to API integration, to review, staging, QA handoff, and release. The role is best suited for someone who is frontend-strong, full-stack capable, AI-tool-fluent, detail-oriented, and serious about becoming a stronger product-minded engineer.

Internship Details
Role Type: Unpaid Internship
Schedule: 15 20 hours per week
Duration: 4 6 months
Location: 100% Remote
Eligibility: Current U.S. residents only
Education: Current Master's students or Master's graduates
Academic Credit: Supported where available through your institution
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 also be legally authorized to participate in a remote internship in the U.S. We are unable to sponsor visas for this internship.

Responsibilities
Build frontend features from Figma designs using AI-assisted development workflows
Create responsive, accessible, and maintainable user interfaces
Integrate frontend applications with existing backend APIs
Handle authentication, validation, loading states, error states, permissions, and edge cases
Maintain and extend existing components, design systems, and application patterns
Use AI coding tools to assist with implementation, debugging, refactoring, testing, and documentation
Troubleshoot frontend, backend, and integration issues
Perform self-testing before QA handoff
Document implementation decisions, assumptions, edge cases, and technical notes
Participate in code reviews and incorporate feedback
Collaborate with engineering, QA, and product stakeholders

Required Qualifications
Currently pursuing or completed a Master's degree in Computer Science, Software Engineering, AI, Data Science, Information Technology, HCI, Machine Learning, or a related technical field
Current U.S. resident
Minimum 2 years of frontend development experience through coursework, internships, projects, freelance work, open-source contributions, or professional experience
Strong proficiency in HTML, CSS, JavaScript, and TypeScript
Experience with modern frontend frameworks such as React, Next.js, Vue, Angular, or Svelte
Experience translating Figma designs into working applications
Experience building responsive web interfaces
Experience consuming REST or GraphQL APIs
Understanding of frontend architecture, backend integrations, authentication, and deployment workflows
Familiarity with OAuth, JWT, sessions, or role-based access control
Experience using AI-assisted development tools such as Claude, Codex, Cursor, ChatGPT, GitHub Copilot, or similar
Experience with Git, pull requests, and code review workflows
Ability to work independently, read documentation, and solve technical problems effectively
Portfolio, GitHub profile, or project samples available for review

Preferred Qualifications
Strong frontend skills with the ability to handle full-stack integrations
Experience using AI coding tools in real development workflows
Ability to review, debug, and improve AI-generated code
Strong UI/UX attention to detail
Experience with frontend/API integrations, authentication, validation, and error handling
QA-minded approach to software development
Ability to document work clearly and communicate technical decisions effectively
Experience working within established codebases and engineering standards

What You'll Learn
Production frontend and full-stack development workflows
Design-to-development implementation processes
API integration and real-world data flows
AI-assisted engineering practices and workflows
Code review, QA, staging, and release processes
Technical documentation and implementation planning
Cross-functional collaboration with engineering and QA teams
Best practices for maintaining code quality while leveraging AI tools
Nice to Have
Accessibility (WCAG) knowledge
Frontend performance optimization experience
CI/CD experience (GitHub Actions, Vercel, Netlify, AWS, etc.)
Familiarity with Sentry, LogRocket, or similar tools
Experience with Playwright, Cypress, Postman, or related testing tools
Experience with design systems and component libraries
Backend experience with Node.js, NestJS, Express, Django, FastAPI, Rails, Spring Boot, or similar frameworks
Experience with PostgreSQL, MySQL, MongoDB, Supabase, Prisma, or similar technologies
Experience with AI agents, prompt engineering, vector databases, MCP tools, or automation workflows

Application Requirements
Please submit:
Resume
GitHub profile, portfolio, or project samples
2 3 examples of frontend or full-stack projects you built
Brief summary of your Figma-to-code experience
Brief summary of your experience with AI-assisted development tools
Brief summary of your experience with API integrations, authentication, or full-stack product features
Weekly availability
Whether your institution supports academic credit for internships