Software Engineer - All Levels

About Genius AI 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 Genius AI is building an agentic workforce: AI systems that act on behalf of appointment-based business owners, not just assist them. The engineers who join now will be the ones who architect it. We're hiring across two paths: product engineers who work at the intersection of AI capabilities and customer problems, shipping the features that put agentic tools directly in front of the businesses we serve; and platform engineers who build the scalable, reliable infrastructure that makes those AI products possible in the first place. Whichever path you're on, the expectation is the same: you build with AI as the default layer underneath how you work, not a tool you reach for occasionally. You must be commutable to our San Francisco office in SOMA and will operate in a hybrid environment. We default to being in-office 3–4 days per week with required at [... source excerpt omitted ...] ted to grow. Our current stack: Kotlin (Micronaut, jOOQ), gRPC, protobuf TypeScript / JavaScript (React, Redux) React Native AWS, Kubernetes, Postgres, Terraform Linear What You'll Do Architect and ship AI-powered features that change how service businesses operate: not wrappers around existing tools, but net-new capabilities that weren't possible before Build and maintain large-scale systems that process billions in payments and serve 120,000+ businesses, with reliability and performance as non-negotiables Use AI to architect, debug, write, and review code, and hold a higher bar for your own output because of it Own your work end to end: from technical design through [... source excerpt omitted ...] etter architecture, you're expected to make the case and drive it What We're Looking For 2+ years of professional software engineering experience, with demonstrated ownership of production systems, not just contributions to a team that owned them You use AI to architect, debug, write, and review code, and you've shipped AI-powered features or systems, not just used AI-assisted editors Move fast and make decisions: you don't wait for a fully scoped ticket to start thinking, you'd rather ship something real and iterate than spend weeks perfecting a plan Strong analytical instincts for efficiency, scalability, and system reliability, you think about what breaks at scale before it