Senior AI Engineer, Platform

QXO•Seattle, WA

2d•$138,000 - $235,000

About The Position

The Senior AI Engineer, Platform owns the AI services that make QXO’s data and AI platform dependable at enterprise scale. This includes how agents find and use business data, how answers are grounded in trusted definitions, how access controls are maintained across AI workflows, and how quality is measured and improved over time. The role makes production trade-offs among answer quality, reliability, response time, cost, and secure access. It owns AI services and runtime and works closely with engineers who lead application and user experience development. The role supports AI usage across QXO, using transaction, pricing, customer, and operational data, including data from acquired businesses. Its users include sales, operations, finance, and executive teams. The position helps make AI services reliable, fast, and cost-effective; grounds responses in approved business data and metric definitions; measures and improves AI quality; maintains access controls; and provides a foundation for engineering teams to build AI agents.

Requirements

At least 5 years of 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 evaluation results.
Strong Python skills, including experience building production services used by other engineering teams.
Experience owning production systems, including deployment, monitoring, and on-call support.
Working knowledge of access control and handling 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 Haves

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.

Responsibilities

Own the AI services and runtime that support QXO’s data and AI platform at enterprise scale.
Balance answer quality, reliability, response time, cost, and secure access in production.
Make the platform’s AI services reliable, fast, and cost-effective as business usage grows.
Ground AI responses in trusted business data and approved metric definitions.
Measure and improve AI quality, identifying regressions before they reach users.
Ensure access controls are consistently applied across AI workflows.
Provide engineering teams across QXO with a dependable foundation for building AI agents.
Deploy, monitor, and support production systems, including on-call support.