Staff Software Engineer, Gustie Assist

Gusto · Denver, CO - Hybrid; New York, New York, United States; San Francisco, CA - Hybridsenior

In short

▸Engineero de software que construye un agente de IA (Otto) para resolver problemas de nómina y beneficios de pymes
▸Diseña y opera el entorno completo del agente: runtime, herramientas, backend en Rails/GraphQL, frontend para usuarios y sistemas de evaluación y monitoreo
▸Salida rápida a producción con cambios semanales, prioritizando resultados reales de clientes sobre novedades de modelos

Fluency in English required for collaboration with cross-functional teams.

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What they ask for

✓Más de 8 años de experiencia en ingeniería de software, con sistemas end-to-end
✓Experiencia comprobada en sistemas de IA o agentes con LLM en producción
✓Capacidad para trabajar en todo el stack: backend, runtime de LLM, frontend y sistemas de evaluación
✓Habilidad para liderar proyectos de varios trimestres con impacto medible a escala
✓Juicio sólido sobre seguridad y alcance de daños cuando el software actúa sobre cuentas reales
✓Capacidad para mentorizar a otros ingenieros y elevar el estándar de construcción de sistemas agenticos

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LLMagent runtimeagent graphtool/action layerRailsGraphQLLLM-as-judgedeterministic scorersoffline gatesonline production monitoring

Who should you write to at Gusto?

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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 our Total 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. Gustie Assist builds Otto, the AI agent that Gusto's support advocates rely on to solve customers' hardest payroll, benefits, and compliance problems. When a small business hits a wall and reaches out, the advocate turns to Otto: it reasons over the customer's full context, answers in the moment, and increasingly takes real actions across Gusto's systems on the advocate's behalf to make the customer whole. We're a small platform team building an agent that reasons, acts, and has to get it right when the stakes are someone's payroll. This is unusually broad, hands-on applied-AI work: you'll own an LLM agent runtime and the full stack around it, including the tool layer that lets it act over Gusto's systems, the Rails/GraphQL backend, the advocate-facing frontend, and the eval system that keeps it trustworthy while it touches live customer accounts. We keep the path from idea to production short, and measure ourselves on customer outcomes, not model novelty. Here's what you'll do day-to-day: • Design and build across the Otto platform, including the runtime and agent graph, the tool/action layer, the Rails/GraphQL backend, and the advocate-facing experience, owning a meaningful slice end-to-end • Expand what the agent can safely do: autonomous, tool-using actions with human-in-the-loop approval, built on a secure, auditable identity and permissions model • Build the eval and observability systems (LLM-as-judge + deterministic scorers, offline gates and online production monitoring) that let us change the agent in production weekly without regressing correctness or escalation behavior • Work directly with LLMs, including prompting, tool/function design, retrieval, and the feedback loops that turn real advocate interactions into a better Otto • Partner closely with Product, Data, Design, and our CX teams to turn advocate and customer pain into shipped capabilities • Mentor engineers and set the bar for how we build agentic systems responsibly and at scale Here's what we're looking for: • Typically 8+ years of software engineering experience, owning systems end-to-end • You've built and shipped LLM-powered or agentic systems in production, including tool-calling/agents, retrieval, or evals, and you know where they break and how to make them reliable • Strong full-stack range. Must be comfortable moving between backend services, an LLM runtime, and customer-facing product, and picking up whatever the problem needs • Experience owning multi-quarter projects that make measurable user impact at scale • Sound judgment about safety and blast radius when software takes real actions on real accounts • Ability to mentor engineers and raise the bar around you Also great to have:

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