Building AI-Powered Recruiting Engines
Practical systems with n8n, Make, Cursor, and AI tools
The Problem
Most recruiters still work inside tools they don't control: ATS decides what's possible, sourcing tools dictate workflows, AI is bolted on, not designed in. This creates a ceiling: repetitive work never truly goes away, insights are lost between steps, advantage doesn't compound. The recruiters who consistently outperform don't work harder — they build small, private recruiting engines that automate repetition and protect judgment. This workshop shows how to do exactly that.
What You'll Get
We'll walk through one complete recruiting engine, designed to show the pattern clearly and transferably. The focus is not what you build — but how to design engines you can replicate.
This workshop is about designing recruiting systems (not automations in isolation), using AI as an orchestration layer (not a magic button), building lightweight infrastructure recruiters actually own, and creating leverage that compounds over time. It is NOT about ATS replacement, low-code tutorials from scratch, or prompt libraries.
- Role intake → sourcing strategy engine
- Inbound lead → qualification & routing engine
- Candidate conversation → insight extraction engine
- Signal → shortlist engine
How It Works
1) Private workgroup (async, pre-session)
Before the live session, you'll join a private group to ensure the live session stays practical and high-signal.
- Align on what qualifies as a 'recruiting engine'
- Map common recruiting bottlenecks worth automating
- Clarify where AI helps — and where it hurts
- Set expectations for the live walkthrough
2) Live session (75 minutes)
This is not a build-along tutorial. It's a clear, real system walkthrough you can adapt to your own stack.
- Part 1 — Engine thinking: what separates workflows from engines, where most recruiters automate the wrong things
- How top recruiters protect judgment while scaling output
- Identifying compounding vs disposable automation
- Part 2 — System walkthrough: how the engine is structured end-to-end, where n8n / Make orchestrate logic
- How AI handles summarization, inference, classification — and where Cursor or lightweight code adds flexibility
What You'll Walk Away With
A clear mental model of what a recruiting engine actually is
A reusable architecture for AI-powered recruiting systems
Better instincts for what to automate vs what to keep human
Practical examples using n8n, Make, Cursor, and AI tools
Fewer repetitive tasks and fewer context switches
What's Included
Replay access is provided to attendees for a limited time to keep sessions interactive and discussion-driven.
per seat
Secure checkout · Instant confirmation
You'll be invited to our online workgroup within 24 hours of registration.
About the Host
Michal Juhas
20+ years in tech, trained 50,000+ students in IT & HR, sold 5,000+ training products, with 35k+ YouTube subscribers, 33k+ LinkedIn followers, and 190+ Trustpilot reviews.
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