Staff-level engineer architecting AI-native developer tools and infrastructure to accelerate engineering velocity across Gusto. Requires 8+ years experience building production AI systems with deep expertise in LLMs, RAG, and multi-agent workflows.
180k – 245k
Hybrid8+ YOEDevOps / SRE
About the role
Responsibilities
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), 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.
Requirements
8+ Years of Systems Expertise: Seasoned engineer comfortable navigating massive, complex codebases and delivering production-grade, distributed software.
Production AI Experience: Proven track record of moving AI beyond prototypes. Deep understanding of prompt engineering, fine-tuning, RAG architectures, and orchestrating multi-agent workflows.
Developer-First Mindset: Passionate about Developer Experience and Productivity. Understand what makes an internal tool frictionless, fast, and empowering for other engineers.
Strategic Execution: Think deeply about data privacy, security, cost management, and systemic reliability when deploying AI solutions.
Exceptional Communication: Translate bleeding-edge AI capabilities into clear, actionable infrastructure strategies, mentoring junior engineers and aligning cross-functional stakeholders.
Working as a Team: Work across team boundaries and bring other teams and groups along towards strategic vision.
Compensation & Benefits
Cash compensation targeted at $180,000/yr to $200,000/yr in Denver & most remote locations, $220,000/yr to $245,000/yr for San Francisco, New York & Seattle.
Stock equity is additional.
All full-time employees receive competitive base pay, benefits, and equity (RSUs).
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