Ai Prompt Training Jobs in Bothell, WA (NOW HIRING)

Job Summary:
QXO, Inc. is the largest publicly traded distributor of roofing and building products in North America, aiming to become the tech-enabled leader in its industry. They are seeking a highly skilled Senior AI Engineer to design, build, and deploy AI agents that enhance workflows across the organization, blending software engineering with applied machine learning.
Responsibilities:
• Architect, build, and optimize AI agents using modern agent frameworks (e.g., LangChain, LlamaIndex, 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 can operate autonomously, 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.
• Build agents that support Sales Representatives, 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.
• Assisting with audience segmentation, experimentation, and performance analysis.
• Powering internal 'marketing copilots' that answer questions from campaign, web, and analytics data.
• Partner with the business to identify high-ROI workflows for automation and to measure the impact of deployed agents on pipeline, conversion, quoting speed/accuracy, and engagement metrics.
• 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.
• 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 refinement—especially for critical revenue and quoting workflows.
• Work closely with product, engineering, Sales, Marketing, and domain experts to translate business processes into agentic flows.
• Partner with stakeholders to identify automation opportunities and design AI-powered operational solutions.
• Contribute to internal documentation, best practices, and AI engineering guidelines.
Qualifications:
Required:
• 3–7+ 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 as LangChain, OpenAI/MCP, LlamaIndex, or similar orchestration tools.
• Proficiency with 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 testing, eval harnesses).
• 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, or RevOps teams (e.g., CRM-integrated apps, quoting tools, outbound tooling, marketing analytics or 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, Prefect, etc) and/or MLOps (Mlflow, Flyte, etc) and event-driven architectures.
• Familiarity with vector and search/retrieval systems.
• Understanding of prompt engineering, model fine-tuning, or RLHF-style evaluation frameworks.
Company:
QXO is a technology solutions company that offers programming and technical support for the manufacturing and distribution sectors. Founded in 2002, the company is headquartered in Greenwich, USA, with a team of 10001+ employees. The company is currently Late Stage.