How Can an AI Recruiting Chatbot Improve Candidate Communication?

from fastapi import FastAPI, BackgroundTasks, Request from twilio.rest import Client import os app = FastAPI(title="Candidate Communications Engine") twilio_client = Client(os.getenv("TWILIO_SID"), os.getenv("TWILIO_AUTH_TOKEN")) STAGE_MESSAGES = { "technical_review": "Hi {name}! Your system architecture project has been submitted to our engineering review team. Expect feedback within 48 business hours.", "onsite_invited": "Exciting news, {name}! You have been invited to the final panel round. Choose your preferred times here: {booking_url}", "archived_pool": "Hi {name}, while we advanced another profile for this specific role, your background in Rust is exceptional. We've added you to our priority tier for upcoming Q3 engineering roles." } @app.post("/webhooks/ats/candidate-stage-updated") async def handle_ats_stage_transition(payload: dict, background_tasks: BackgroundTasks): candidate = payload.get("candidate", {}) new_stage = payload.get("new_stage") phone_number = candidate.get("phone") first_name = candidate.get("first_name", "there") if new_stage in STAGE_MESSAGES and phone_number: message_body = STAGE_MESSAGES[new_stage].format( name=first_name, booking_url=f"https://careers.company.com/book/{candidate.get('id')}" ) background_tasks.add_task( twilio_client.messages.create, to=phone_number, from_=os.getenv("TWILIO_PHONE_NUMBER"), body=message_body ) return {"status": "ENQUEUED", "candidate_id": candidate.get("id")}