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Sr. Staff AI/ML Engineer
Summary by AIEngineer.careers
Sr. Staff AI/ML Engineer is a AI Infrastructure Engineer role (full-time). with Gusto, Inc. in DENVER, US. Compensation shown: $245K–$272K. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
DENVER · US
$245K–$272K
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
Gusto is seeking a Sr. Staff AI/ML Engineer to design, build, and scale the AI platform that powers intelligent agents for internal teams. This role involves developing core platform capabilities such as agent orchestration, RAG infrastructure, eval tooling, and model serving. As a Staff MLE, you will shape technical standards, drive architectural decisions, and mentor engineers across the organization.
Responsibilities
- Design and build scalable platform services (agent orchestration, RAG pipelines, eval frameworks, model serving)
- Lead technical strategy and architecture for the AI platform
- Collaborate cross-functionally with app teams, PMs, and Designers
- Build, harden, and operate shared infrastructure for intelligent agents
- Stay current with AI/ML research and prototype new techniques
- Establish robust practices for validation, deployment, monitoring
- Communicate technical strategy to executives
- Mentor engineers across teams
Requirements
- 12+ years building and deploying end-to-end AI/ML systems
- Deep expertise in LLMs, NLP, retrieval/RAG, agent orchestration, deep learning, or reinforcement learning
- Hands-on experience with LLM-based applications and agentic workflows
Gusto, Inc.
San Francisco · US · 2803+ employees
Gusto, Inc. is a cloud-based payroll, benefits, and HR management software company that serves small and medium-sized businesses. It provides integrated tools for payroll processing, employee onboarding, benefits administration, and compliance.
