Staff Engineer — AI Developer Tools Platform

Gusto

Atlanta (GA)

On-site

USD 190,000 - 230,000

Full time

14 days+

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Job summary

Gusto is seeking a Staff Engineer on the Developer Productivity – AI Developer Tools team to architect the AI platform that accelerates engineering across the company. You will redefine how our engineering organization builds, tests, and ships software by designing a secure, context-aware “AI-native” development lifecycle.

Your mission is to eliminate developer friction through AI tools, multi-agent systems, and intelligent automation.

Qualifications

8+ years of systems experience delivering production-grade distributed software.
Experience moving AI beyond prototypes, including prompt engineering, RAG architectures, and multi-agent workflows.
Developer-first mindset focused on developer experience and productivity.
Strategic execution considering data privacy, security, and cost management.
Exceptional communication translating AI capabilities into infrastructure strategies.
Strong cross-team collaboration across product, infrastructure, and security.

Responsibilities

Architect AI Core Infrastructure: Design, scale, and maintain the internal platform and APIs that integrate LLMs into the developer workflow, with autonomous agents, custom retrieval-augmented generation (RAG), and smart context-delivery systems.
Drive Technical Leadership & Vision: Establish engineering best practices for building with AI at Gusto, including robust evaluation frameworks, guardrails for code safety, and strategies for optimizing model latency and token spend.
Collaborate & Evangelize: Partner closely with product engineering teams to uncover systemic friction points, and collaborate with core Infrastructure and Security teams to ensure all AI tooling is scalable, compliant, and secure.
Optimize Feedback Loops: Identify and eliminate critical bottlenecks in the local-to-production lifecycle at scale across Gusto.
Maintain Enterprise Reliability: Treat AI infrastructure with production-grade rigor. Monitor system health, diagnose complex integration or networking issues, and mitigate model drift or downtime.