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