AI Product Engineering Intern

About the Internship

We are seeking a graduate-level intern specializing in front-end engineering or full-stack product development to help turn front-end product screens into real working software functionality inside an existing codebase. This role is centered around 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, and refine production-ready software. Claude may also be used for backend-related tasks and code reviews where appropriate.

The intern’s job is to take front-end screens, flows, and product requirements and help translate them into complete working features by thinking through:

• How the feature should behave
• What user stories need to be defined
• What the acceptance criteria should be
• What happens in edge cases
• What the data limitations are
• What empty states, loading states, and error states need to exist
• What the front end needs from the backend in order to work correctly

Key Responsibilities

• Work 100% inside 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
• Review AI-assisted code critically and refine weak implementations
• Debug product behavior and identify incomplete or broken experiences
• Think through QA, usability, and functional completeness before marking work 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

• 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

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 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 before a feature is considered complete.

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