AI Engineer

Employment Solutions; Gahanna (OH); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

401(k)

Dental insurance

Health insurance

Paid time off

Vision insurance

Job summary

Employment Solutions in Gahanna, OH, is hiring an AI Engineer to own end-to-end AI development, focusing on an AI operating system that connects models, orchestration, data stores, and production workflows across the business.

The role requires hands-on experience building AI agents, proficiency in Python and APIs, and familiarity with platforms like Make.com, n8n, Zapier. Onsite work in Ohio with a competitive salary.

Qualifications

• Strong understanding of AI systems architecture integrating models, orchestration, data storage, and agents.
• Hands-on experience building AI agents and automations in production.
• Proficient Python and API development; using AI tools to accelerate coding.
• Experience with Make.com, n8n, Zapier or similar automation platforms.
• Self-directed with end-to-end ownership and minimal oversight.
• Excellent communication translating technical work for non-technical leaders.

Responsibilities

• Own the AI roadmap and architecture end to end.
• Identify high-leverage AI use cases across departments.
• Define what current AI tools enable and plan projects.
• Design and maintain the core AI architecture and data flow.
• Determine data storage and integration with ERP, CRM, WMS.
• Evaluate orchestration layers and tools like Make.com vs alternatives.
• Build and maintain AI agents to automate workflows (quoting, service, procurement).
• Pair large language models with orchestration tools to run production-grade agents.
• Write production code using Python and APIs; leverage AI coding tools.
• Build real applications and integrations where no-code tools fall short.
• Collaborate with leaders to surface automation opportunities.
• Train staff and drive adoption of AI tools across the org.
• Document architecture for future maintenance and extension.
• Maintain data integrity, security, and access across AI systems.
• Monitor and test agents to keep them reliable as business scales.

Skills

AI architecture

AI agents

Python & APIs

Automation tools

End-to-end ownership

Communication

Tools

Make.com

n8n

Zapier

Boomi

MuleSoft

Databricks

FastAPI

Job description

Employment Solutions is hiring an AI Engineer to take end-to-end ownership of the company’s AI development. The role focuses on designing and building an AI operating system that uses agents, orchestration, data, and infrastructure to ship production AI and automate workflows across the business.

Key Responsibilities

• Own the company’s AI roadmap and architecture end to end as a full ownership role
• Identify and prioritize high-leverage AI use cases across sales, operations, procurement, finance, and the warehouse
• Act as the primary expert on what current AI tools can enable, translating that into concrete, shippable projects
• Design and maintain the core AI architecture (the company’s AI operating system), including how models, orchestration tools, and data stores connect
• Determine 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, with current use of Make.com and comparison to alternatives such as n8n, Boomi, or MuleSoft
• Build, deploy, and maintain AI agents that automate real workflows including quoting, customer service, procurement, routing, reporting, and more
• Pair large language models (Claude, ChatGPT) as reasoning engines with orchestration tools and custom code to deliver reliable, production-grade agents
• Write and ship production code using Python, APIs, FastAPI, and similar technologies, leveraging AI coding tools to increase speed and output
• Build real applications and integrations where no-code tools are insufficient
• Collaborate with department leaders to surface automation opportunities and convert them into technical builds
• Train and support staff adoption of AI tools and agents across the organization
• Document architecture and builds so others can maintain or extend them
• Maintain data integrity, security, and access control across AI systems and integrations
• Monitor, test, and maintain production agents to keep them reliable as the business scales

Required Qualifications

• Strong, demonstrated understanding of how AI systems fit together, including models, orchestration, data storage, and agent design beyond prompting
• Hands-on experience building AI agents and automations in production, not limited to prototypes
• Solid coding ability, with Python and APIs as a minimum, plus comfort using AI tools to write and ship code quickly
• Experience with automation and orchestration platforms such as Make.com, n8n, Zapier, or similar tools
• Self-directed approach with the ability to own a project end to end with minimal oversight in a get-it-done environment
• Strong communication skills, including translating technical work for non-technical department leaders

Technology Stack

• Python, APIs, FastAPI
• Make.com, n8n, Zapier, Boomi, MuleSoft
• Claude, ChatGPT
• ERP, CRM, WMS
• Databricks

Preferred Qualifications

• Experience with Make.com specifically
• Experience with Databricks or similar data platforms
• Experience in distribution or another non-tech industry

Benefits

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

Location and Work Model

Gahanna, OH (onsite, in person)

Salary

USD 80,000 - 100,000 per year

Work Location

In person