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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.

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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