> Markdown version of [/jobs/ext/3682909-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3682909-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** EMPLOYMENT SOLUTIONS - **Location:** Columbus, OH, United States - **Salary:** $80,000.0 - $100,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Systems, Data Stores, Digital Architecture, Python (Programming Language), Routing, Workflow Management Systems, Design of Telemetry/logging Agents, Data Storage Technologies, Warehouse Management Systems, Large Language Models, Boomi, Zapier, AI Coding Agents, Agentic-AI, Fastapi, Kubernetes, Production Code, Data Management, Claude, GPT, Mulesoft, Databricks - **Published:** October 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=12932c66ff475c48 ## About the Role * 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! ## Description * 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