Frontend Full Stack Staff Software Engineer, AI Platform Experiences

At Gusto, we're on a mission to grow the small business economy.

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.

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.

Responsibilities

• 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 data to drive improvements
• Mentor engineers on complex technical challenges in AI, scalability, and platform infrastructure
• Help scale a large Ruby/Rails and React application serving millions of users
• Work with Product, Design, Security, and Technical Operations teams to understand customer needs, develop solutions, and launch features
• Build customer-facing products end-to-end that customers rely on every day

Requirements

• 8+ years of software development experience, with 4+ years building scalable platforms or high-impact customer-facing products
• Strong foundation in front-end engineering and modern web technologies (Ruby on Rails, React, GraphQL, or similar full-stack frameworks) with ability to build well-structured, maintainable code
• Track record of owning multi-quarter projects that solve complex engineering problems and deliver measurable customer impact at scale
• Experience building internal platforms or developer-facing infrastructure that enables other teams to self-serve and ship AI-powered features
• Excellent cross-functional communication skills with ability to mentor engineers and collaborate effectively across teams and stakeholders
• Product-minded, customer-facing engineering approach with passion for creating great customer experiences and ownership over performance, reliability, and quality
• Bonus if you have AI platform development experience or strong learning orientation toward AI technologies, patterns, and frameworks (orchestration, evals, prompt systems,not ML model development)

Benefits

• Competitive base pay
• Benefits
• Equity (RSUs)

Location Preferences

• San Francisco Bay Area
• New York City Metro
• Seattle Metro

Salary

• $163,000-$204,000 in Denver
• $178,000-$223,000 for Los Angeles and most remote locations
• $197,000-$247,000 for San Francisco, New York, and Seattle