Unlock AI Automation: Distinguish Top Engineers from the RestUnlock AI Automation: Distinguish Top Engineers from the Rest
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87% of marketers use AI in at least one workflow now.
Only 6% have fully implemented it (Supermetrics 2026).
The gap between those numbers is basically the entire job description for what I do.
Going to break down what an AI automation engineer is, what we ship, and how to tell the bad ones from the good ones.
Eric's avatar
An AI automation engineer connects AI to the workflows your business already runs.
We don't train models. We don't write papers. We don't do research.
We pick the right model for the job, wire it into the systems your team uses every day, and ship the build.
Eric's avatar
Honest read on the role: AI doesn't enter every build I ship.
I shipped three this quarter for paying agencies. Two of them had zero LLM in the workflow.
The job is knowing when to add AI and when to leave it out. Most days are wiring + testing, not training models.
Eric's avatar
Build 1: Voice IVR Lead Qualifier for a pay-per-lead network.
Twilio fronts the matching API. Ringba routes the inbound. When all referral specialists are on the line, the IVR collects postal code + issue type, hits the API for a matched company, reads the info to the caller, and...
Eric's avatar
Build 2: Calendly to Closer Report.
Zapier watches Calendly bookings across 5 closer routes. Waits 45 minutes after the call, then pings the assigned closer in Slack with a GoHighLevel survey link.
Closers stopped forgetting to log calls. Sales managers stopped chasing.
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