Senior AI Platform Engineer: Scalable, Grounded AI Services

QXO; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

QXO, based in Seattle, seeks a Senior AI Engineer, Platform to own the AI services that power its data platform at enterprise scale. You will ensure reliable, fast, and secure AI workloads while grounding answers in trusted business data and metrics.

You will trade off quality, latency, cost, and security, collaborating with application and UX teams to deliver robust AI capabilities across the organization.

Qualifications

• 5+ years of backend engineering experience
• Production experience building agentic workflows on large language models (LLMs)
• Experience with evaluating agentic solutions (test sets, automated grading, quality monitoring)
• Strong Python, including production services
• Ownership of production systems (deployment, monitoring, on-call)
• Knowledge of access control and handling of sensitive data
• Experience using AI-assisted development tools with quality accountability
• Degree in computer science or related field, or equivalent practical experience

Responsibilities

• Own the AI services and runtime for enterprise-scale data access, grounded in trusted definitions
• Balance trade-offs between quality, latency, cost, and security in production
• Ensure access controls hold across every AI workflow
• Measure and improve AI quality and catch regressions before reaching users
• Provide a dependable foundation for other engineering teams to build their own AI agents

Skills

Backend engineering

Agentic workflows

Python

AI-assisted development tools

Production systems ownership

Education

Bachelor's degree in CS or related field

Tools

LangChain

LangGraph

Job description

QXO, based in Seattle, seeks a Senior AI Engineer, Platform to own the AI services that power its data platform at enterprise scale. You will ensure reliable, fast, and secure AI workloads while grounding answers in trusted business data and metrics.

You will trade off quality, latency, cost, and security, collaborating with application and UX teams to deliver robust AI capabilities across the organization.