Screen job applicants with Groq llama-3.3-70b and send outcomes via Gmail

by Avkash Kakdiya ✓ · 11 views · created 2026-04-06 · HR, AI Summarization

What this workflow does

This AI workflow has 14 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Google Sheets, Groq Chat Model, Gmail and Slack.

How it runs

Trigger: When an HTTP POST request hits its webhook URL.

1. Structure Job and Candidate Data (Edit Fields (Set)): sets 4 fields: Job_Information, Candidate_Information, ApplicationId…
2. Check for Duplicate Application (Google Sheets): uses Google Sheets
3. Is Duplicate Application? (If): checks a condition and branches into true / false
4. Score Candidate with AI (AI Agent): runs an AI agent, with model: Groq LLM (llama-3.3-70b)
5. Parse Score, Reason, Strengths and Gaps (Code): runs custom JavaScript code
6. Route by Score Band (Switch): routes items into 2 branches
7. Log Shortlisted Candidate to Sheet (Google Sheets): append
8. Log Moderate Candidate to Waitlist (Google Sheets): append
9. Send Shortlist Congratulations Email (Gmail): uses Gmail
10. Send Waitlist Holding Email (Gmail): uses Gmail

…plus 2 more steps. See the full node list below.

Services it uses

Google SheetsGroq Chat ModelGmailSlack

Before you upgrade to n8n 3.0

Nodes used (10)

• Webhookn8n-nodes-base.webhook
• Edit Fields (Set)n8n-nodes-base.set
• Google Sheetsn8n-nodes-base.googleSheets
• Ifn8n-nodes-base.if
• AI Agent@n8n/n8n-nodes-langchain.agent
• Groq Chat Model@n8n/n8n-nodes-langchain.lmChatGroq
• Coden8n-nodes-base.code
• Switchn8n-nodes-base.switch
• Gmailn8n-nodes-base.gmail
• Slackn8n-nodes-base.slack

From the author

How it works This workflow automates candidate screening by receiving application data via a webhook and structuring it for AI evaluation. An AI agent analyzes the candidate profile and assigns a score with reasoning. The score is extracted and evaluated…

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