← Search all jobs

Staff AI Engineer, Full-Stack

QXO

Listing collected from QXO's career site. NextChapter is independent of QXO.

Seattle, WA · Posted October 20, 2026

Just laid off? Start here: a plan for the first weeks

See every open role at QXO

More in Washington job market · All Staff AI Engineer jobs (55) · Manufacturing & Industrial · Data & Analytics jobs

More roles at QXO

Similar jobs

Where Seattle, WA ranks

Where Seattle, WA placed in our monthly rankings, month by month. Each month stays online at its own address.

How AI is used in this kind of work

Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

QXO is a leading distributor and installer of building products serving an $800 billion market. The company’s mission is to modernize the building products industry through advanced technology and a best-in-class customer experience. QXO is North America’s largest distributor and installer of insulation, the second-largest distributor of roofing products, the second-largest publicly traded distributor of lumber and building materials, and the largest distributor of waterproofing products. The company is targeting $50 billion in annual revenue within the decade through accretive acquisitions and organic growth. For more information, visit QXO.com.

What you'll do:

What You'll Build On

Stack: Python and TypeScript with React, on Google Cloud, with a modern cloud data warehouse and AI models from multiple providers.

Data: transaction, pricing, customer, and operational data from the largest publicly traded distributor of roofing and waterproofing products in the United States, including the businesses it acquires.

Users: sales, operations, finance, and executive teams across QXO.

The Role

The Staff AI Engineer, Full-Stack shapes the product experience of QXO's data and AI platform. This role leads the application architecture and sets the engineering standards that allow teams across QXO to build on the platform, so its judgment influences how multiple teams design, build, and ship.

The role combines product judgment with deep technical ownership: what users see, how the application is structured, and how AI capabilities are presented so people can trust and act on them. It partners with business leaders on what the platform should do, and with the engineers who own the AI services on how AI appears in the product.

The Impact You'll Have

Define the application architecture and technical direction for the platform's user experience.

Create a consistent, extensible product experience that new capabilities and new teams can build on.

Design how AI appears in the product: showing where answers come from, communicating uncertainty, and capturing user feedback.

Expand the platform's adoption and usefulness across sales, operations, and finance, guided by how people use it.

Raise the engineering bar across teams through design reviews, code reviews, and mentoring

What you'll bring:

8+ years of software engineering experience, including demonstrated experience delivering full-stack products.

Experience leading the architecture of a system or platform that other teams built on.

Strong TypeScript and React, 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 both 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 Have

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.

What you'll earn

Base pay range: $160,000 - $288,000

Annual performance bonus

Long term incentive (equity/stock)

401(k) with employer match

Medical, dental, and vision insurance

PTO, company holidays, and parental leave

Paid Time Off/Paid Sick Leave: Applicants can expect to accrue 15 days of paid time off during their first year (4.62 hours for every 80 hours worked) and increased accruals after five years of service.

Paid training and certifications

Legal assistance and identity protection

Pet insurance

Employee assistance program (EAP)

QXO is an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, religion, gender or sexual orientation, national origin, age, disability, or any other protected status.

To comply with Pay Transparency laws, employers must disclose an annual salary range. Actual offers depend on factors such as location, experience, skills, and market data. This position may also offer variable compensation.

Please contact careers@QXO.com if you have any questions related to this job posting.

Salary Range:

USD $160,000.00 - USD $288,000.00 /Yr.

Salary Range:

USD $160,000.00 - USD $288,000.00 /Yr.

What You'll Build On

Stack: Python and TypeScript with React, on Google Cloud, with a modern cloud data warehouse and AI models from multiple providers.

Data: transaction, pricing, customer, and operational data from the largest publicly traded distributor of roofing and waterproofing products in the United States, including the businesses it acquires.

Users: sales, operations, finance, and executive teams across QXO.

The Role

The Staff AI Engineer, Full-Stack shapes the product experience of QXO's data and AI platform. This role leads the application architecture and sets the engineering standards that allow teams across QXO to build on the platform, so its judgment influences how multiple teams design, build, and ship.

The role combines product judgment with deep technical ownership: what users see, how the application is structured, and how AI capabilities are presented so people can trust and act on them. It partners with business leaders on what the platform should do, and with the engineers who own the AI services on how AI appears in the product.

The Impact You'll Have

Define the application architecture and technical direction for the platform's user experience.

Create a consistent, extensible product experience that new capabilities and new teams can build on.

Design how AI appears in the product: showing where answers come from, communicating uncertainty, and capturing user feedback.

Expand the platform's adoption and usefulness across sales, operations, and finance, guided by how people use it.

Raise the engineering bar across teams through design reviews, code reviews, and mentoring

8+ years of software engineering experience, including demonstrated experience delivering full-stack products.

Experience leading the architecture of a system or platform that other teams built on.

Strong TypeScript and React, 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 both 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 Have

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.