AI Engineer

• Own the company’s AI roadmap and architecture end to end; this is full ownership, not an advisory role
• Identify and prioritize high-leverage AI use cases across sales, operations, procurement, finance, and the warehouse
• Serve as the go-to expert on what’s possible with current AI tools and turn that into concrete, shippable projects
• Design and maintain the core AI architecture, effectively the company’s own AI operating system, covering how models, orchestration tools, and data stores connect
• Decide where data should live and how it should flow between core business systems (ERP, CRM, WMS, and customer support platforms) and AI tools
• Evaluate and evolve the orchestration layer as needs grow (currently Make.com) against alternatives such as n8n, Boomi, or MuleSoft - Build, deploy, and maintain AI agents that automate real workflows: quoting, customer service, procurement, routing, reporting, and more
• Pair large language models (Claude, ChatGPT) as reasoning engines with orchestration tools and custom code to build reliable, production-grade agents
• Write and ship production code (Python, APIs, FastAPI, and similar), using AI coding tools to multiply speed and output
• Build real applications and integrations where no-code tools aren’t enough
• Work directly with department leaders to find automation opportunities and translate them into technical builds
• Train and support staff adoption of AI tools and agents across the company
• Document architecture and builds clearly enough that others can maintain or extend them
• Maintain data integrity, security, and access control across AI systems and integrations
• Monitor, test, and maintain production agents so they stay reliable as the business scales

• Strong, demonstrated understanding of how AI systems fit together, models, orchestration, data storage, and agent design, not just prompting
• Hands-on experience building AI agents and automations in production, not just prototypes
• Solid coding ability (Python and APIs at minimum) and comfort using AI tools to write and ship code quickly
• Experience with automation and orchestration platforms (Make.com, n8n, Zapier, or similar)
• Self-directed and fast, comfortable owning a project end to end with minimal oversight in a get-it-done environment
• Strong communicator who can translate technical work for non-technical department leaders, * Experience with Make.com specifically
• Experience with Databricks or similar data platforms
• Experience in distribution or another non-tech industry

Ready to build and ship real AI in production? Apply today!

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Employment Solutions is partnering with a growing industrial distribution company to find an AI Engineer to own AI development end to end. This is a hands-on builder’s role for someone who understands how modern AI systems actually fit together, models, orchestration, data, and infrastructure, and uses that understanding to design the company’s own AI operating system: where data lives, how it moves, which tools reason over it, and how agents get built on top of it.