# Frontend Full Stack Staff Software Engineer, AI Platform Experiences

**Company:** [Gusto](https://hotfix.jobs/companies/gusto)
**Location:** New York, NY, Seattle, WA, San Francisco, CA
**Role:** Fullstack Engineering
**Salary:** $163k – $247k/yr
**Experience:** 8+ years
**Skills:** Ruby on Rails, React, GraphQL, JavaScript, TypeScript, Frontend Engineering, Full Stack Development, Ai Platform Development, Prompt Engineering, A/B Testing
**Posted:** 2026-06-12

> Build and scale Gus, Gusto's AI-powered assistant, and the platform enabling AI-native experiences across web, mobile, voice, and agent channels. Own end-to-end projects at the intersection of modern AI and customer needs.

## Job Description

## 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

## Nice-to-Haves
- AI platform development experience or strong learning orientation toward AI technologies, patterns, and frameworks (orchestration, evals, prompt systems—not ML model development)

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