AI Solutions Engineering Intern (U.S.A Only)

About the Internship

Seeking a graduate-level intern specializing in front-end engineering or full-stack product development to translate front-end product screens into real working software functionality within an existing codebase. This role focuses on using Claude Code, Codex, and MCP tools in the terminal to:

• Analyze codebases
• Review designs and backend documentation
• Create missing front-end documentation
• Implement features
• Debug issues
• Refine production-ready software

Claude may also be used for backend-related tasks and code reviews. The core of this role is building real product functionality by translating front-end screens, flows, and product requirements into complete working features, considering:

• Feature behavior
• User story definition
• Acceptance criteria
• Edge cases
• Data limitations
• Empty, loading, and error states
• Front-end needs from the backend

Key Responsibilities

• Work 100% within a Codex + MCP terminal-based workflow for front-end and full-stack implementation.
• Use Claude as needed for backend-related work and code review workflows.
• Translate front-end screens and product requirements into implementation-ready functionality.
• Create any missing front-end documentation based on designs and backend documentation.
• Write and refine user stories for front-end features.
• Define and document acceptance criteria for front-end features.
• Identify and document edge cases, data limitations, backend dependencies, and functional gaps.
• Define empty states, loading states, validation states, and error states.
• Build front-end features and supporting full-stack functionality.
• Critically review AI-assisted code and refine weak implementations.
• Debug product behavior and identify incomplete or broken experiences.
• Consider QA, usability, and functional completeness before marking work as done.
• Collaborate with product and engineering leadership on feature execution.
• Use Google Chrome Developer Tools in the MCP server environment to inspect, debug, and validate front-end functionality during implementation and QA review.

Requirements & Tech Stack

• Strong front-end experience required.
• Prior hands-on experience with Claude Code and Codex required.
• Prior hands-on experience with MCP server integrations required.
• Candidates should be comfortable with vibe coding workflows.
• A strong QA mindset is essential.
• Ability to look at a design, review documentation, identify missing elements, create front-end documentation, and implement the feature within a real software system.
• JavaScript / TypeScript
• React, Next.js, or similar front-end frameworks
• Front-end architecture and component-based development
• APIs and backend integration patterns
• Debugging and validating application behavior
• Product-minded front-end implementation
• Terminal-based development workflows
• Google Chrome Developer Tools

Qualifications

Required Qualifications

Master’s degree required in one of the following or a closely related field:

• Software Engineering
• Computer Science
• Front-End Development
• Full-Stack Development
• Artificial Intelligence
• Data Science
• Analytics

Must-Have Qualifications

• Prior hands-on experience with Figma, Claude Code, and Codex.
• Prior hands-on experience with MCP server integrations.
• Comfortable working in a vibe coding workflow and not new to this type of environment.
• Strong front-end development experience.
• Strong QA mindset.
• Ability to translate front-end screens into real functionality.
• Ability to create missing front-end documentation from designs and backend documentation.
• Ability to write user stories, acceptance criteria, edge cases, data limitations, and error states.
• Comfortable working 100% in the terminal.
• Able to work inside an existing codebase.
• Strong analytical and problem-solving ability.
• Strong attention to detail and ability to spot incomplete requirements, broken states, weak implementations, and UX or logic gaps.

Preferred Qualifications

• Full-stack product development.
• Working inside existing production codebases.
• Front-end QA or product QA thinking.
• Writing implementation documentation before development begins.
• Identifying API and data constraints that affect front-end behavior.
• Refining UI flows based on real product logic.
• Repository-aware AI tooling and documentation-driven development workflows.

Internship Details

• Duration: 4–6 months
• Commitment: 15–20 hours per week
• Location: 100% remote
• Compensation: Unpaid internship