Software Engineer Intern Winter 2026-2027

Genius AI•New York, NY
•Onsite

About The Position

Genius AI is hiring an engineering intern for Winter 2026–2027 to work within a live engineering team building and shipping production features for web and mobile products used by service businesses and their clients. The internship runs from January 19, 2027, through April 30, 2027, and is based in person at the company's Union Square headquarters in New York City. Interns report to an engineering manager and work alongside senior engineers on customer-facing features, automation, and product improvements. The team typically works in the office three to four days per week, with Tuesdays and Thursdays required.

Requirements

  • Currently pursuing a B.S. in Computer Science or a related technical field, with graduation expected between 2027 and 2028.
  • Coursework or project experience in software engineering.
  • Proficiency in one or more of JavaScript, TypeScript, Ruby, or Kotlin, with project experience beyond coursework.
  • Experience using AI to learn, debug, or build, and the ability to describe something built with AI.
  • Ability to investigate problems independently before seeking help.
  • Strong problem-solving skills and ability to work independently or pair with a teammate.
  • Clear communication skills, including explaining technical tradeoffs to technical and non-technical audiences.
  • Availability to work in person at the Union Square, NYC office.

Nice To Haves

  • Exposure to React, Postgres, SQL, or gRPC.
  • Ability to pick up new frameworks and tools quickly.

Responsibilities

  • Build and test web and mobile product features alongside senior engineers.
  • Identify repeatable work in assigned projects and build AI-powered automation to address it.
  • Write clean, efficient code that meets Genius AI engineering standards.
  • Own debugging and troubleshooting.
  • Partner with data analysts to collect and interpret usage data and apply insights to product AI.
  • Iterate on projects using AI-assisted development and feedback from senior engineers.
  • Learn and apply new languages, frameworks, and AI-native development practices as team needs change.
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