Software Engineer Intern Winter 2026-2027

Genius AI•New York, NY
•$25 - $50•Onsite

About The Position

Genius AI is seeking a motivated engineering intern to join a live engineering team for the Winter 2026–2027 internship. The intern will contribute to production features for Genius AI’s web and mobile products, which serve service businesses and their clients. The role offers exposure to the team’s rapid product development and to building agentic products and AI-powered automation. The internship runs from January 19, 2027, through April 30, 2027. The intern reports to an engineering manager and must be able to commute to Genius AI’s Union Square, NYC headquarters. The role is in person, with the company generally working from the office three to four days per week and requiring attendance on Tuesdays and Thursdays.

Requirements

  • Currently pursuing a B.S. in Computer Science or a related technical field, with expected graduation between 2027 and 2028.
  • Coursework or project experience in software engineering.
  • Experience using AI to learn, debug, and build, with an example of something built using AI.
  • Ability to investigate problems independently and seek help after making an effort to solve them.
  • Proficiency in one or more of JavaScript, TypeScript, Ruby, or Kotlin, with project experience beyond coursework.
  • Ability to learn new frameworks and tools quickly.
  • Strong problem-solving skills and ability to work independently or pair with a teammate.
  • Clear, direct 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.

Responsibilities

  • Build and test web and mobile product features alongside senior engineers.
  • Identify repeatable work within projects and build AI-powered automation to address it.
  • Write clean, efficient code that meets Genius AI engineering standards, and debug and troubleshoot issues.
  • Partner with data analysts to collect and interpret usage data and apply insights to product AI.
  • Iterate on projects using AI-assisted development, incorporating feedback from senior engineers.
  • Expand technical range by learning languages, frameworks, and AI-native development practices as team needs shift.
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