{"schemaVersion":"jobsearcher.job.v1","id":"fc02f980fe72c57a2d8d0ab8","url":"https://jobsearcher.com/jobs/fc02f980fe72c57a2d8d0ab8","canonicalUrl":"https://jobsearcher.com/jobs/fc02f980fe72c57a2d8d0ab8","title":"Full-Stack AI Engineer Internship— Frontend-Focused, Claude CLI / Codex","description":"Unpaid Internship | 100% Remote | U.S. Residents Only | Master’s Degree Required | 15–20 Hours/Week | 4–6 Month DurationAbout the RoleMarketeq 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 DetailsRole Type: Unpaid InternshipSchedule: 15–20 hours per weekDuration: 4–6 monthsLocation: RemoteEligibility: U.S. residents onlyEducation Requirement: Current Master’s degree students and Master’s graduates onlyAcademic Credit: We support academic credit where available through your school or universityStart Date: Immediate availability preferredApplicants 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.What You’ll DoBuild new frontend screens from Figma designs using AI-assisted workflows such as Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, or similar toolsTranslate Figma designs into responsive, high-quality frontend implementationSupport frontend implementation across local development, staging validation, and production release workflowsUse AI-assisted coding tools to generate, review, debug, refactor, and finalize frontend and full-stack implementation workIntegrate frontend screens with backend APIs that have already been built by the engineering teamWork with authentication flows, API responses, loading states, error states, empty states, validation, permissions, and edge casesMaintain and extend existing frontend components, design system patterns, responsive layouts, backend integrations, and project conventionsUse existing component libraries and project conventions instead of inventing unnecessary new UI patternsUse Claude CLI, OpenAI Codex, Cursor, MCP tools, repository documentation, and project context to understand the codebase and complete implementation ticketsDebug frontend, backend, API, authentication, data flow, and full-stack integration issuesSelf-test your work before QA handoff, including functional behavior, user flows, edge cases, data limitations, acceptance criteria, API behavior, and integration behaviorThink through error states, empty states, broken flows, failed API calls, invalid inputs, permission issues, and unusual user behavior before submitting work for reviewContribute to ticket documentation, including user stories, acceptance criteria, edge cases, data constraints, API notes, implementation notes, and AI workflow notesWrite clean PRs with clear explanations of what changed, what was tested, and what still needs reviewReceive feedback through code reviews, staging reviews, implementation walkthroughs, and QA handoff reviewsRequired ExperienceCurrently 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 fieldMust be a current U.S. residentMinimum 2 years of total frontend development experience through coursework, internships, freelance work, personal projects, open-source work, bootcamps, or shipped productsStrong hands-on experience with HTML, CSS, JavaScript, and TypeScriptExperience with at least one modern frontend framework such as React, Next.js, Vue, Svelte, Angular, or similarExperience translating Figma designs into working frontend interfacesExperience building responsive layouts for desktop, tablet, and mobile screensExperience working with component libraries, design systems, reusable frontend components, or Storybook-style component documentationExperience with frontend state management using tools such as React state, Context API, Zustand, Redux, TanStack Query, Apollo Client, or similarExperience connecting frontend screens to backend APIsExperience consuming REST or GraphQL APIsBasic full-stack understanding, including how frontends connect to backend APIs, authentication, databases, services, and deployment environmentsFamiliarity with authentication flows such as OAuth, JWT, sessions, or role-based accessExperience using AI-assisted development tools such as Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, or similar toolsAbility to guide AI tools to generate useful code, then review, debug, refactor, and validate the code before submitting itComfort working with technical documentation, architecture notes, implementation plans, and existing codebase patternsQA-minded approach to frontend and full-stack development, including the ability to self-test work before QA handoffComfort working with Git, branches, commits, pull requests, and code reviewsAbility to read documentation, think through problems, and work independently while asking thoughtful questions when neededPortfolio, GitHub, shipped project, or frontend/full-stack work samples we can review.What You’ll LearnHow production frontend and full-stack work moves from design to local development, staging, QA handoff, and releaseHow to work inside an existing codebase with established frontend, backend, API, and documentation conventionsHow to use AI-assisted development tools in a real product environmentHow to use Claude CLI, OpenAI Codex, Cursor, MCP tools, and repository context to support real implementation workHow to improve AI-generated code through review, debugging, refactoring, and staging feedbackHow to connect frontend screens to backend APIs and real data flowsHow to think through frontend and integration quality before formal QA reviewHow to document user stories, acceptance criteria, edge cases, data limitations, API behavior, and implementation notesHow to work with engineering, QA, and product stakeholdersHow to write cleaner PRs and communicate implementation decisions clearlyHow to use AI tools as an engineering accelerator without losing ownership of code qualityNice to HaveExperience with accessibility standards such as WCAGExperience with frontend performance auditingExperience with CI/CD tools such as GitHub Actions, Vercel, Netlify, Render, AWS, or similarFamiliarity with error tracking or session replay tools such as Sentry, LogRocket, or similarExperience with Playwright, Cypress, Chrome DevTools, Postman, Insomnia, or other testing/debugging toolsExperience working with design systems or component librariesExperience with responsive dashboards, marketplaces, SaaS products, admin panels, or internal toolsExperience with backend development using Node.js, NestJS, Express, Django, FastAPI, Rails, Spring Boot, or similarExperience with databases such as PostgreSQL, MySQL, MongoDB, Supabase, Prisma, TypeORM, or similar toolsExperience with MCP server integrations, AI agents, prompt engineering, vector databases, embeddings, or repository memory systemsExperience building automation scripts, development workflows, or AI-assisted engineering pipelineApplication RequirementsTo apply, please send:Your resumeYour GitHub, portfolio, or frontend/full-stack project samples2–3 examples of frontend or full-stack work you personally builtA short note explaining your experience with Figma-to-code implementationA short note explaining your experience with AI-assisted development tools such as Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, or similar toolsA short note explaining your experience connecting frontend screens to backend APIs, authentication flows, or full-stack product featuresYour weekly availabilityWhether your school supports academic credit for internships","company":"Marketeq Talent","rawCompany":"marketeq talent","city":"Miami","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-05-24T15:09:04.930Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1255.00","title":"Web and Digital Interface Designers","slug":"web-and-digital-interface-designers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full-Stack AI Engineer Internship— Frontend-Focused, Claude CLI / Codex","description":"Unpaid Internship | 100% Remote | U.S. Residents Only | Master’s Degree Required | 15–20 Hours/Week | 4–6 Month DurationAbout the RoleMarketeq 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 DetailsRole Type: Unpaid InternshipSchedule: 15–20 hours per weekDuration: 4–6 monthsLocation: RemoteEligibility: U.S. residents onlyEducation Requirement: Current Master’s degree students and Master’s graduates onlyAcademic Credit: We support academic credit where available through your school or universityStart Date: Immediate availability preferredApplicants 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.What You’ll DoBuild new frontend screens from Figma designs using AI-assisted workflows such as Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, or similar toolsTranslate Figma designs into responsive, high-quality frontend implementationSupport frontend implementation across local development, staging validation, and production release workflowsUse AI-assisted coding tools to generate, review, debug, refactor, and finalize frontend and full-stack implementation workIntegrate frontend screens with backend APIs that have already been built by the engineering teamWork with authentication flows, API responses, loading states, error states, empty states, validation, permissions, and edge casesMaintain and extend existing frontend components, design system patterns, responsive layouts, backend integrations, and project conventionsUse existing component libraries and project conventions instead of inventing unnecessary new UI patternsUse Claude CLI, OpenAI Codex, Cursor, MCP tools, repository documentation, and project context to understand the codebase and complete implementation ticketsDebug frontend, backend, API, authentication, data flow, and full-stack integration issuesSelf-test your work before QA handoff, including functional behavior, user flows, edge cases, data limitations, acceptance criteria, API behavior, and integration behaviorThink through error states, empty states, broken flows, failed API calls, invalid inputs, permission issues, and unusual user behavior before submitting work for reviewContribute to ticket documentation, including user stories, acceptance criteria, edge cases, data constraints, API notes, implementation notes, and AI workflow notesWrite clean PRs with clear explanations of what changed, what was tested, and what still needs reviewReceive feedback through code reviews, staging reviews, implementation walkthroughs, and QA handoff reviewsRequired ExperienceCurrently 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 fieldMust be a current U.S. residentMinimum 2 years of total frontend development experience through coursework, internships, freelance work, personal projects, open-source work, bootcamps, or shipped productsStrong hands-on experience with HTML, CSS, JavaScript, and TypeScriptExperience with at least one modern frontend framework such as React, Next.js, Vue, Svelte, Angular, or similarExperience translating Figma designs into working frontend interfacesExperience building responsive layouts for desktop, tablet, and mobile screensExperience working with component libraries, design systems, reusable frontend components, or Storybook-style component documentationExperience with frontend state management using tools such as React state, Context API, Zustand, Redux, TanStack Query, Apollo Client, or similarExperience connecting frontend screens to backend APIsExperience consuming REST or GraphQL APIsBasic full-stack understanding, including how frontends connect to backend APIs, authentication, databases, services, and deployment environmentsFamiliarity with authentication flows such as OAuth, JWT, sessions, or role-based accessExperience using AI-assisted development tools such as Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, or similar toolsAbility to guide AI tools to generate useful code, then review, debug, refactor, and validate the code before submitting itComfort working with technical documentation, architecture notes, implementation plans, and existing codebase patternsQA-minded approach to frontend and full-stack development, including the ability to self-test work before QA handoffComfort working with Git, branches, commits, pull requests, and code reviewsAbility to read documentation, think through problems, and work independently while asking thoughtful questions when neededPortfolio, GitHub, shipped project, or frontend/full-stack work samples we can review.What You’ll LearnHow production frontend and full-stack work moves from design to local development, staging, QA handoff, and releaseHow to work inside an existing codebase with established frontend, backend, API, and documentation conventionsHow to use AI-assisted development tools in a real product environmentHow to use Claude CLI, OpenAI Codex, Cursor, MCP tools, and repository context to support real implementation workHow to improve AI-generated code through review, debugging, refactoring, and staging feedbackHow to connect frontend screens to backend APIs and real data flowsHow to think through frontend and integration quality before formal QA reviewHow to document user stories, acceptance criteria, edge cases, data limitations, API behavior, and implementation notesHow to work with engineering, QA, and product stakeholdersHow to write cleaner PRs and communicate implementation decisions clearlyHow to use AI tools as an engineering accelerator without losing ownership of code qualityNice to HaveExperience with accessibility standards such as WCAGExperience with frontend performance auditingExperience with CI/CD tools such as GitHub Actions, Vercel, Netlify, Render, AWS, or similarFamiliarity with error tracking or session replay tools such as Sentry, LogRocket, or similarExperience with Playwright, Cypress, Chrome DevTools, Postman, Insomnia, or other testing/debugging toolsExperience working with design systems or component librariesExperience with responsive dashboards, marketplaces, SaaS products, admin panels, or internal toolsExperience with backend development using Node.js, NestJS, Express, Django, FastAPI, Rails, Spring Boot, or similarExperience with databases such as PostgreSQL, MySQL, MongoDB, Supabase, Prisma, TypeORM, or similar toolsExperience with MCP server integrations, AI agents, prompt engineering, vector databases, embeddings, or repository memory systemsExperience building automation scripts, development workflows, or AI-assisted engineering pipelineApplication RequirementsTo apply, please send:Your resumeYour GitHub, portfolio, or frontend/full-stack project samples2–3 examples of frontend or full-stack work you personally builtA short note explaining your experience with Figma-to-code implementationA short note explaining your experience with AI-assisted development tools such as Claude CLI, OpenAI Codex, Cursor, ChatGPT, GitHub Copilot, or similar toolsA short note explaining your experience connecting frontend screens to backend APIs, authentication flows, or full-stack product featuresYour weekly availabilityWhether your school supports academic credit for 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