Frontend Full Stack Staff Software Engineer, AI Platform Experiences
Gusto is a payroll and HR platform that helps small businesses pay domestic and international employees, manage benefits, and automate compliance.
Projects
About Gusto
Gusto serves small and mid-sized businesses with payroll processing, employee benefits administration, and HR tools in one platform. Users can run payroll, manage health insurance, hire globally, and pay international contractors in local currency or USDC stablecoins. The platform automates payroll tax filings across multiple states and integrates with tools like QuickBooks and Xero.
Skills
About the Role
You will architect, build, and test technologies that power AI experiences across Gusto's product suite, working on Gus, the AI-powered assistant. You will create standardized, self-serve patterns that let product teams extend Gus across web, voice, email, and agent-based channels. You will collaborate with ML and product teams on prompt engineering, clarifying question flows, and escalation logic, using A/B tests and data to drive improvements. You will mentor engineers on complex challenges in AI, scalability, and platform infrastructure, help scale a large Ruby on Rails and React application serving millions of users, and work with Product, Design, Security, and Technical Operations to launch features customers rely on every day.
Requirements
- 8+ years of software development experience
- 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)
- Track record of owning multi-quarter projects that deliver measurable customer impact at scale
- Experience building internal platforms or developer-facing infrastructure enabling teams to ship AI-powered features
- Excellent cross-functional communication skills with ability to mentor engineers
- Product-minded, customer-facing engineering approach with ownership over performance, reliability, and quality
- Bonus: AI platform development experience or strong learning orientation toward AI technologies, patterns, and frameworks (orchestration, evals, prompt systems)
Responsibilities
- Architect, build, and test technologies supporting AI experiences within the product suite
- Create standardized, self-serve patterns enabling product teams to extend the AI assistant across web, voice, email, and agent-based experiences
- Collaborate with ML and product teams on prompt engineering, clarifying question flows, and escalation logic
- Drive improvements using A/B tests and data
- Mentor engineers on complex technical challenges in AI, scalability, and platform infrastructure
- Help scale a large Ruby on Rails and React application serving millions of users
- Work with Product, Design, Security, and Technical Operations teams to develop solutions and launch features
- Build customer-facing products end-to-end
Benefits
- Health insurance
- 401(k)
- Equity (RSUs)
