- Salary
- $25 – $50
- Location
- San Francisco · New York, New York, United States
- Workplace
- Onsite
- Type
- Internship
- Department
- Engineering
- Seniority
- Internship
- Education
- Bachelor
- Source
- Greenhouse
Description
About GlossGenius
Genius AI is building technology to help local businesses run themselves. Genius AI products do the admin work that keeps practitioners from the work they love and the people they serve. From GlossGenius to Reception, its products work 24/7 on busywork like booking, marketing, client management, finances, staff and inventory management, and more.
Genius AI technology has saved businesses 106M in admin hours, earned them $2.0B in additional revenue, and facilitated more than 624M client touch points.
About the Role
As we continue to expand our reach and impact, we are seeking highly motivated and talented engineering interns to join our team for Summer of 2027.
Position: Engineering Intern
Location: San Francisco
Duration: June 2027 to August 2027
This internship puts you inside a live engineering team shipping product that hundreds of thousands of service businesses and their clients touch every day. You'll work on real features headed to production, not a side project built to keep you busy. Genius AI is scaling an agentic product at a pace where decisions ship in days, and this role exists so you get real exposure to how that speed and judgment work together.
You will report to an engineering manager on our team. You must be commutable to our San Francisco office in SOMA, and will operate in an in-person environment. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.
What You'll Do
- Build and test features for our web and mobile products alongside senior engineers, shaping experiences used by our customers and their clients
- Architect small pieces of automation with AI, not just use it as an assistant: identify repeatable work in your own project and build the system that removes it
- Write clean, efficient code that meets Genius AI engineering standards, and own debugging and troubleshooting
- Partner with data analysts to collect and interpret usage data, and use those insights to inform how AI gets applied across the product
- Ship fast, learn faster: iterate on your projects with AI-assisted development on a tight cadence, adjusting based on feedback from senior engineers
- Expand your technical range deliberately, picking up new languages, frameworks, and AI-native development practices as the team's needs shift
What We're Looking For
- Currently pursuing a B.S. in Computer Science or related technical field, graduating between 2027 and 2028, with coursework or project experience in software engineering
- You use AI to learn faster, debug, and ship, and can point to something you've built with it
- You dig into a problem before waiting for someone to hand you the answer, and you ask for help once you're stuck, not before you've tried
- Proficient in one or more of JavaScript, TypeScript, Ruby, or Kotlin, with real project experience beyond coursework
- Comfortable picking up new frameworks and tools quickly, ideally with some exposure to React, Postgres, SQL, or gRPC
- Strong problem-solving instincts and equally comfortable working independently or pairing with a teammate
- Clear, direct communicator who can explain technical tradeoffs to both engineers and non-engineers
- Available to work in person from our SF office in SOMA
The starting base salary for this role in SF is between $25 - $50 per hour. The hourly rate offered is dependent upon many factors including skills, experience, location, and education. The pay range is subject to change and may be modified in the future.
Personal Information: Notice at Collection for Employees and Applicants
Agency Submissions
If a resume or applicant is submitted to Genius AI by a third party without a signed search agreement in place, it will become the property of Genius AI and no fee will be paid, irrespective of whether the candidate is hired.
Genius AI may use automated tools, including artificial intelligence and machine learning systems (AI Tools), to assist in evaluating applicants’ qualifications and fitness for the position. These AI Tools may be used alongside human review during one or more stages of the recruiting process, including application screening, skills assessments, and interviewing. No final hiring decision will be made solely by AI Tools without human oversight.
