Staff Software Engineer, AI Developer Tools
Gusto, Inc.
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.
About the Role:
As a Staff Engineer on the Developer Productivity - AI Developer Tools team, you will be the architectural anchor shaping the AI platform that accelerates engineering across Gusto. You will redefine how our entire engineering organization builds, tests, and ships software by architecting a highly secure, context-aware, "AI-native" development lifecycle.
Your mission is to eliminate developer friction through AI tools, multi-agent systems, and intelligent automation. Whether you are building bespoke internal coding assistants, automating sprawling codebase refactors, or deploying AI to self-heal CI/CD pipelines, your work will directly multiply the velocity of hundreds of builders. Help us drive developer productivity by building the next generation of AI tools.
About the Team:
The AI Developer Tools team is a specialized team within Developer Productivity. We believe AI is the next great leap in software craftsmanship. Our goal is to provide every builder at Gusto with a suite of "superpowers" tools that deeply understand our codebase and absorb operational toil so engineers can focus on creative problem-solving. We treat our fellow engineers as our primary customers, prioritizing developer experiences that are not just powerful, but absolutely delightful to use.
Here’s what you’ll do day-to-day:
- Architect AI Core Infrastructure: Design, scale, and maintain the internal platform and APIs that integrate LLMs into the developer workflow, with a heavy focus on 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 (evals), guardr
Opens the company's application page
Listed via
Findwork
findwork.dev
Similar roles
Data Analyst
Harnham - Data & Analytics Recruitment
Senior Data Analyst
Harnham - Data & Analytics Recruitment
Service Charge Data Analyst
Robertson Bell
Data Analyst
R3vamp Limited
Design & Tech
Related reads from TCHNX
Why AI Design Tools Are Quietly Replacing Junior Designers and What Actually Comes Next
AI tools promise efficiency, but London studios are discovering an unexpected paradox: automation creates new bottlenecks requiring precisely the expertise being eliminated. We investigate what's actually happening to entry-level design work.
The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training
A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.
The Emergence of Small Language Models: Why Efficiency Is Overtaking Scale
As the AI industry confronts computational costs and environmental concerns, a new generation of compact models is proving that bigger isn't always better. Small language models are reshaping enterprise AI deployment.