AI / Automation Engineer (Mid Level)

The Cary Company•Addison, IL

21d•$70,000 - $90,000•Onsite

About The Position

We’re looking for a hands‑on builder who can turn department requests into working automations and lightweight AI tools quickly. You’ll handle the “80% use cases” that don’t require deep platform engineering—connecting systems, creating GPT‑powered workflows, and delivering quick wins that make work easier across Sales, Customer Service, Operations, Marketing, and Finance. This role is onsite to enable rapid collaboration, whiteboarding, and fast pilots with internal teams.

Requirements

2–5 years building automations or internal tools in a business setting
Demonstrated experience with at least two of: Zapier, Make, Power Automate, Airtable, Notion, Google Apps Script (or similar)
Working knowledge of Python for scripting, API calls, and simple data transforms
Comfortable reading API docs, working with webhooks, OAuth, and JSON
Strong documentation habits and the ability to explain solutions to non‑technical teammates
Bias for action—you ship small, test fast, and improve

Nice To Haves

Experience calling LLMs via API (OpenAI, Azure OpenAI, Anthropic) and handling prompts, context windows, and guardrails
Familiarity with NetSuite, Magento, Listrak, Power BI, or Microsoft Graph
Basic understanding of RAG, embeddings, and vector stores for internal search
Light UI skills for internal tools (e.g., Streamlit, Retool, Power Apps, simple React)
Version control with Git and comfort working in a lightweight SDLC

Responsibilities

Build and maintain no‑code/low‑code automations (Zapier, Make, Power Automate, Airtable)
Create small internal “copilots” and assistants that call LLM APIs for drafting, summarizing, data lookups, and form workflows
Write simple Python scripts and micro‑services to glue systems together and call vendor APIs
Integrate automations with core platforms: NetSuite, Magento, Listrak, Microsoft 365/SharePoint/Teams, and common CRMs/help desks
Translate business requests into clear requirements and user stories with the TPM; document SOPs and handoffs
Pilot solutions with small user groups, gather feedback onsite, iterate, and roll out broadly
Monitor reliability and errors; set up alerts and basic observability for automations
Partner with the AI Integration Engineer on components that require secure coding or enterprise integration patterns