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Automate HR recruitment with OpenAI resume screening & interview QnA generator

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Automate HR recruitment with OpenAI resume screening & interview QnA generator preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Build an AI HR Assistant to Screen Resumes and Send Telegram Alerts A step by step guide to creating a fully automated recruitment pipeline that screens candidates, generates interview que...

Best for

  • HR automation workflows
  • AI Chatbot automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.formtrigger, n8n-nodes-base.extractfromfile, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.googledrive, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.googlesheetstool, n8n-nodes-base.googlesheets

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Sandeep Patharkar | www.FastTrackAiMastery.com.

Original n8n.io source

1.1 Workflow description

Title
Automate HR recruitment with OpenAI resume screening & interview QnA generator
Workflow name
Automate HR recruitment with OpenAI resume screening & interview QnA generator


Build an AI HR Assistant to Screen Resumes and Send Telegram Alerts

A step-by-step guide to creating a fully automated recruitment pipeline that screens candidates, generates interview questions, and notifies your team.

This template provides a complete, step-by-step guide to building an AI-powered HR assistant from scratch in n8n. You will learn how to connect a web form to an intelligent screening agent that reads resumes, evaluates candidates against your job criteria, and prepares unique interview questions for the most promising applicants.


Services Used Features
🤖 OpenAI / LangChain Uses AI Agents to screen, score, and analyze candidates.
📄 Google Drive & Google Sheets Stores resumes and manages a database of open positions and applicants.
📥 n8n Form Trigger Provides a public-facing web form to capture applications.
💬 Telegram Sends real-time alerts to the hiring team for qualified candidates.

How It Works ⚙️

  1. 📥 Application Submitted: The workflow starts when a candidate fills out the n8n Form Trigger with their details and uploads their CV.
  2. 📂 File Processing: The CV is automatically uploaded to a specific Google Drive folder for record-keeping, and the Extract from File node reads its text content.
  3. 🧠 AI Screening Agent: A LangChain Agent analyzes the resume text. It uses the Google Sheets Tool to look up the requirements for the applied role, then scores the candidate and decides if they should be shortlisted.
  4. 📊 Log Results: The agent's decision (name, score, shortlisted status) is logged in your master "Applications" Google Sheet.
  5. ✅ Qualification Check: An IF node checks if the candidate was shortlisted.
  6. ❓ AI Question Generator: If shortlisted, a second LangChain Agent generates three unique, relevant interview questions based on the candidate's resume and the job description.
  7. ✍️ Update Sheet: The generated questions are added to the candidate's row in the Google Sheet.
  8. 🔔 Notify Team: A final alert is sent via Telegram to notify the HR team that a new candidate has been qualified and is ready for review.

🛠️ How to Build This Workflow

Follow these steps to build the recruitment assistant from a blank canvas.

Step 1: Set Up the Application Intake
  1. Add a Form Trigger node. Configure it with fields for Name, Email, Phone Number, a File Upload for the CV, and a Dropdown for the "Job Role".
  2. Connect a Google Drive node. Set the Operation to Upload and connect your credentials. Set it to upload the CV file from the Form Trigger into a specific folder.
  3. Add an Extract from File node. Set it to extract text from the PDF CV file provided by the trigger.
Step 2: Build the AI Screening Agent
  1. Add a Langchain Agent node. This will be your main screening agent.
  2. In its prompt, instruct the AI to act as a resume screener. Tell it to use the input text from the Extract from File node and the tools you will provide to score and shortlist candidates.
  3. Add an OpenAI Chat Model node and connect it to the Agent's Language Model input.
  4. Add a Google Sheets Tool node. Point it to a sheet with your open positions and their requirements. Connect this to the Agent's Tool input.
  5. Add a Structured Output Parser node and define the JSON structure you want the agent to return (e.g., candidate_name, score, shortlisted). Connect this to the Agent's Output Parser input.
Step 3: Log Results & Check for a Match
  1. Connect a Google Sheets node after the Agent. Set its operation to Append or Update. Use it to add the structured output from the agent into your main "Applications" sheet.
  2. Add an IF node. Set the condition to continue only if the shortlisted field equals "yes".
Step 4: Generate Interview Questions
  1. On the 'true' path of the IF node, add a second Langchain Agent node.
  2. Write a prompt telling this agent to generate 3 interview questions based on the candidate's resume and the job requirements.
  3. Connect the same OpenAI Model and Google Sheets Tool to this agent.
  4. Add another Google Sheets node. Set it to Update the existing row for the candidate, adding the newly generated questions.

💬 Need Help or Want to Learn More?

Join my Skool community for n8n + AI automation tutorials, live Q&A sessions, and exclusive workflows:
👉 https://www.skool.com/n8n-ai-automation-champions


Template Author: Sandeep Patharkar
Category: Website Chatbots / AI Automation
Difficulty: Beginner
Estimated Setup Time: ⏱️ 15 minutes

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 2 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 3 - Application form

Type / Role
n8n-nodes-base.formTrigger - formTrigger
Config choices
Version 2.2

Block 4 - Extract profile

Type / Role
n8n-nodes-base.extractFromFile - extractFromFile
Config choices
Version 1

Block 5 - gpt4-1 model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 6 - Upload to Google Drive

Type / Role
n8n-nodes-base.googleDrive - googleDrive
Config choices
Version 3

Block 7 - Sticky Note14

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 8 - Structured Output Parser1

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 9 - Open_Positions

Type / Role
n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices
Version 4.7

Block 10 - Update_HR_Application_System

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 11 - HR_RTS_Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2.2

Block 12 - If

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 13 - Update_HR_Application_System1

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 14 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Sticky Note6

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Send a text to HR Team

Type / Role
n8n-nodes-base.telegram - telegram
Config choices
Version 1.2

Block 17 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 18 - Dynamic Question Generator Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2.2

Block 19 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Automate HR recruitment with OpenAI resume screening & interview QnA generator
Complexity advanced
Nodes 19
Categories HR, AI Chatbot
Author Sandeep Patharkar | www.FastTrackAiMastery.com
Published 12 Oct 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/9528/9528.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Automate HR recruitment with OpenAI resume screening & interview QnA generator do?

Build an AI HR Assistant to Screen Resumes and Send Telegram Alerts A step by step guide to creating a fully automated recruitment pipeline that screens candidates, generates interview que...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your HR, AI Chatbot use case.