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GustoGustoDenver, CO

Staff Software Engineer, Gustie Assist

Build and scale Otto, Gusto’s production AI agent for support advocates, spanning the LLM runtime, tool/action layer, backend, frontend, and evaluation systems. The role requires 8+ years of software engineering experience, production agentic-system expertise, strong full-stack ability, and mentoring skills.

Salary not listed
Hybrid8+ YOEFullstack Engineering

About the role

Responsibilities

  • Design and build across the Otto platform, including the runtime and agent graph, tool/action layer, Rails/GraphQL backend, advocate-facing experience, and evaluation system.
  • Expand the agent's safe capabilities through autonomous, tool-using actions with human-in-the-loop approval.
  • Build secure, auditable identity and permissions models for agent actions.
  • Develop evaluation and observability systems using LLM-as-judge, deterministic scorers, offline gates, and online production monitoring.
  • Work with LLMs on prompting, tool/function design, retrieval, and feedback loops based on advocate interactions.
  • Partner with Product, Data, Design, and Customer Experience teams to ship capabilities addressing advocate and customer pain points.
  • Mentor engineers and establish responsible practices for building agentic systems at scale.

Requirements

  • Typically 8+ years of software engineering experience with end-to-end system ownership.
  • Production experience building and shipping LLM-powered or agentic systems, including tool-calling, retrieval, or evaluations.
  • Strong full-stack range across backend services, LLM runtimes, and customer-facing products.
  • Experience owning multi-quarter projects with measurable user impact at scale.
  • Sound judgment regarding safety and blast radius when software takes actions on real accounts.
  • Ability to mentor engineers and raise engineering standards.

Nice to Have

  • Experience with agent frameworks, evaluations, LLM-as-judge, retrieval, or MCP-style tool architectures.
  • Experience with Ruby on Rails and/or JavaScript/React, or ability to ramp quickly.
  • Familiarity with GraphQL and federated backends.
  • Appreciation for collaborative, test-driven, high-autonomy environments and clear communication with engineering and business stakeholders.

Compensation and Benefits

  • Competitive base pay, benefits, and equity in the form of RSUs.
  • Offer amounts are determined by role, level, and location.

Skills

llm agentsagent runtimetool callingretrievalllm evaluationRuby on RailsJavaScriptReactGraphQLfederated backendsmcpPrompt EngineeringObservabilityrails
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