Staff AI Engineer, Full-Stack

QXO•Seattle, WA

20d•$160,000 - $288,000

About The Position

QXO is a leading distributor and installer of building products working to modernize the industry through advanced technology and a best-in-class customer experience. The Staff AI Engineer, Full-Stack shapes the product experience of QXO’s data and AI platform, leading application architecture and setting engineering standards for teams building on the platform. The role combines product judgment with deep technical ownership. It determines how users interact with the application, how it is structured, and how AI capabilities are presented so users can trust and act on them. The position partners with business leaders to define platform capabilities and with engineers responsible for AI services to determine how those capabilities appear in the product. The platform uses Python and TypeScript with React on Google Cloud, a modern cloud data warehouse, and AI models from multiple providers. Its data includes transaction, pricing, customer, and operational information, including data from acquired businesses; users include sales, operations, finance, and executive teams.

Requirements

At least 8 years of software engineering experience, including demonstrated experience delivering full-stack products.
Experience leading the architecture of a system or platform used by other teams.
Strong TypeScript and React skills, and proficiency building backend services in Python.
Experience shipping features built on large language models to production users.
Experience building agentic workflows using frameworks such as LangChain and LangGraph.
Experience evaluating agentic solutions through offline testing and online production measurement.
Experience building data-intensive products such as analytics applications, dashboards, or data exploration tools.
Ability to work directly with business leaders and translate their needs into products they adopt.
Demonstrated effective use of AI-assisted development tools, with accountability for the quality of their output.
A degree in computer science or a related field, or equivalent practical experience.

Nice To Haves

Experience with data visualization and design systems.
Experience with a cloud data warehouse or a semantic layer.
Experience developing guardrails for LLM-based applications.
Background in distribution, supply chain, or another B2B business.

Responsibilities

Define the application architecture and technical direction for the platform’s user experience.
Create a consistent, extensible product experience that new capabilities and teams can build on.
Design how AI appears in the product, including showing the sources of answers, communicating uncertainty, and capturing user feedback.
Expand platform adoption and usefulness across sales, operations, and finance, guided by how people use it.
Raise engineering standards across teams through design reviews, code reviews, and mentoring.
Partner with business leaders to shape platform capabilities and translate needs into products users adopt.
Collaborate with engineers who own AI services on how AI capabilities are presented in the product.

Benefits

Annual performance bonus.
Long-term incentive (equity/stock).
401(k) with employer match.
Medical, dental, and vision insurance.
Paid time off, company holidays, and parental leave.
Paid time off and paid sick leave accrual, with increased accruals after five years of service.
Paid training and certifications.
Legal assistance and identity protection.
Pet insurance.
Employee assistance program (EAP).