Senior AI Engineer

QXO is a leading distributor and installer of building products serving an $800 billion market. The companys mission is to modernize the building products industry through advanced technology and a best-in-class customer experience. QXO is North Americas 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 .

We areseekinga highly skilledSenior SoftwareEngineerAI todesign build and deploy production-grade AI agents that augment workflows across our organization. The ideal candidate has hands-on experience with agentic frameworks MCP servers LLM orchestration libraries and robust testing/monitoring practices. This role blends software engineering excellence with applied machine learning and offers the opportunity to push the boundaries of intelligent automation inreal businessenvironments.

Responsibilities

AI Agent Development & Deployment

• Architect build andoptimizeAI agents using modern agent frameworks (e.g.LangChainLlamaIndex OpenAI/MCP-based ecosystems or equivalents).

• Implement MCP (Model Context Protocol) servers custom tools and integrations to enable secure and scalable agent capabilities.

• Design agentic workflows that canoperateautonomously perform multi-step reasoning and interact with structured/unstructured data sources.

• Package and deploy agents into production environments with attention to reliability observability and performance.

Sales & Marketing Agent Use Cases

• Build agents that support SalesRepresentatives such as:

• Lead and account research enrichment and prioritization.

• Drafting and personalizing outbound emails and sequences.

• Summarizing calls meetings and account activity to drive next-best actions.

• Integrating with CRM and sales tools (e.g. Salesforce HubSpot Outreach) to automate data entry and insight surfacing.

• Generating detailed bills of materials (BOMs) estimates and quotes from drawings specs takeoffs or CRM/opportunity data including price checks margin validation and versioning.

• Build agents that support Marketing such as:

• Generating and localizing content for campaigns landing pages and nurture programs.

• Assistingwith audience segmentation experimentation and performance analysis.

• Powering internal marketing copilots that answer questions from campaign web and analytics data.

• Partner withthe businesstoidentifyhigh-ROI workflows for automation and to measure the impact of deployed agents onpipeline conversion quoting speed/accuracy and engagement metrics.

Systems Engineering & Tooling

• Develop internal libraries reusable modules and standardized patterns for building agentic applications.

• Integrate agent systems with enterprise APIs cloud services databases pricing/catalog systems and operational infrastructure.

• Build CI/CD pipelines for both model-related code and agent-specific behavior including automated testing evaluation harnesses and regression detection for LLM-powered systems.

Testing Evaluation & Monitoring

• Create frameworks for continuous evaluation of agents including prompt tests scenario simulations and safety/robustness checks.

• Monitor agent performance in production diagnose failures and iterate quickly on improvements.

• Implement logging analytics and feedback loops to guide ongoing training or refinementespecially for critical revenue and quoting workflows.

Collaboration & Strategy

• Work closely with product engineering Sales Marketing and domain experts to translate business processes into agentic flows.

• Partner with stakeholders toidentifyautomation opportunities and design AI-powered operational solutions.

• Contribute to internal documentation best practices and AI engineering guidelines.

• 37 years of experience as a Software Engineer Machine Learning Engineer or AI Engineer (flexible based on seniority).

• Proven experience building AI agents or LLM-driven applications in production contexts.

• Hands-on work with libraries/frameworks such asLangChain OpenAI/MCP LlamaIndex or similar orchestration tools.

• Proficiencywith Python (or Typescript/Node) and modern development workflows.

• Experience integrating LLMs with external tools APIs vector databases and retrieval systems.

• Strong understanding of CI/CD containerization (Docker) cloud deployment (AWS/GCP/Azure) and DevOps fundamentals.

• Familiarity with automated testing approaches for LLM applications (unit tests scenario testingevalharnesses).

• Excellent problem-solving skills and the ability to design resilient systems in ambiguous environments.

Preferred

• Experience deploying and scaling MCP servers custom toolchains or enterprise agent frameworks.

• Prior work building tools or automations for Sales Marketing orRevOpsteams (e.g. CRM-integrated apps quoting tools outbound tooling marketinganalyticsor experimentation platforms).

• Background or project experience in the building industry (construction materials distribution building automation supply chain procurement)or other B2B industry.

• Experience with workflow engines (Airflow Prefectetc)and/orMLOps(Mlflow Flyteetc)and event-driven architectures.

• Familiarity with vector and search/retrieval systems.

• Understanding ofprompt engineering model fine-tuning or RLHF-style evaluation frameworks.

• 401(k) with employer match
• Medical dental and vision insurance
• PTO company holidays and parental leave
• 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.

Tocomply withPay Transparency laws employers mustdisclosean annual salary range. Actual offers depend on factors such as location experience skills and market data. This position may also offer variable compensation.