Senior AI Engineer, Platform

Responsibilities

The Senior AI Engineer will own and maintain the AI services and runtime, ensuring they are reliable, scalable, and cost-effective. This role involves grounding AI responses in trusted business data and implementing robust quality monitoring and access controls.

Requirements

Candidates must have 5+ years of backend engineering experience and proven expertise in building agentic workflows with large language models. Proficiency in Python and experience with production system ownership and evaluation frameworks are required.

Skills

• Backend engineering
• Python
• Large language models
• LangChain
• LangGraph
• Agentic workflows
• Retrieval systems
• Tool-calling
• Production software
• Access control
• Data monitoring
• System deployment
• On-call support
• Quality evaluation
• Cloud data warehouse

Benefits

• Annual performance bonus
• Long term incentive
• 401(k) with employer match
• Medical insurance
• Dental insurance
• Vision insurance
• Paid time off
• Company holidays
• Parental leave
• Paid training
• Certifications
• Legal assistance
• Identity protection
• Pet insurance
• Employee assistance program

About this role

Overview
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 will do:
What You'll Build On
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 Senior AI Engineer, Platform owns the AI services that make QXO's data and AI platform dependable at enterprise scale: how agents find and use business data, how answers stay grounded in trusted definitions, how access controls hold across every AI workflow, and how quality is measured and improved over time.
The core challenge is balance. Answer quality, reliability, response time, cost, and secure access compete with one another, and this role makes those trade-offs in production. It owns the AI services and runtime, and works closely with the engineers who lead the application and user experience.
The Impact You'll Have
Make the platform's AI services reliable, fast, and cost-effective as usage grows across the business.
Ground AI responses in trusted business data and approved metric definitions, so answers match the figures the business already reports.
Continuously measure and improve AI quality, catching regressions before they reach users.
Ensure access controls hold consistently across every AI workflow.
Give engineering teams across QXO a dependable foundation for building their own AI agents.
What you will bring:
5+ years backend engineering experience building and operating production software.
Production experience building agentic workflows on large language models, including agents, retrieval systems, and tool-calling workflows, using frameworks such as LangChain and LangGraph.
Experience with online and offline evaluation of agentic solutions, including building test sets, automated grading, quality monitoring, and acting on the results.
Strong Python, including production services used by other engineering teams.
Ownership of production systems, including deployment, monitoring, and on-call support.
Working knowledge of access control and the handling of sensitive data.
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 developing guardrails for agentic workflows, including controls for safe tool use, data access, and reliable behavior.
Experience optimizing the cost and response time of applications built on large language models.
Experience with a cloud data warehouse and shared metric definitions.
Background in distribution, supply chain, or another B2B business.
What you will earn:
Base pay range: $138,000 - $235,000
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, sex, 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 $138,000.00 - USD $235,000.00 /Yr.
Pay Range
USD $138,000.00 - USD $235,000.00 /Yr.

About QXO

Wholesale Building Materials · 10,001+ employees