AI Engineer Intern

Responsibilities

• Support implementation of AI-assisted product features and workflow automations.
• Help test prompts, output quality, and response behavior in realistic product scenarios.
• Work with engineers on frontend and backend integration tasks where needed.
• Translate product requirements into implementation details across UI, logic, and AI behavior.
• Document findings, edge cases, failure patterns, and improvement ideas for ongoing feature work.
• Assist with debugging, experimentation, and iteration on workflow-driven product features.
• Contribute to internal quality checks for features where AI output needs to remain usable and operationally clear.

Requirements

• Strong fundamentals in JavaScript, React, or modern web development.
• Working knowledge of AI concepts, LLM workflows, or automation tooling.
• Ability to reason through implementation details and debug systematically.
• Interest in building production-facing systems rather than isolated demos.
• Comfort learning across product, engineering, and workflow-oriented problem spaces.

Who Should Apply

• Students or early-career engineers who want applied AI product experience.
• Candidates who like shipping practical software with measurable behavior.
• Applicants comfortable learning across UI, workflow, and systems boundaries.
• People who want to understand how AI features behave inside real software products.