Frontend Full Stack Staff Software Engineer, AI Platform Experiences

About Gusto

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about ourTotal Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

Location Preference for this role are: San Francisco Bay Area, New York City Metro, or Seattle Metro

About the Role

We're hiring an experienced full stack engineer to help small businesses work better with AI. You'll build Gus, Gusto's AI-powered assistant, and create scalable solutions that serve millions of users. As a Software Engineer at this level, you'll own projects end-to-end from initial specs to deployed features—working at the intersection of modern AI capabilities and real business needs.

About the Team

The Core Experience - AI Experiences team owns Gus, Gusto's AI-powered assistant, and the platform that enables teams across Gusto to deliver AI-native experiences to customers across web, mobile, voice, email, and agent-based channels. You'll work within Gusto's AI platform infrastructure, collaborating closely with sister teams who own the underlying agent framework. Your focus is building experiences and enabling product teams to extend and scale within the platform.

This work is directly tied to Gusto's top priorities. We operate with fast iteration cycles, deep cross-functional collaboration, and high ownership.

Here's what you'll do day-to-day:

• Architect, build, and test technologies supporting AI experiences within Gusto's product suite
• Create standardized, self-serve patterns that enable product teams to extend Gus across web, voice, email, and agent-based experiences
• Collaborate with ML and product teams on prompt engineering, clarifying question flows, and escalation logic—using A/B tests and dat