Building an AI Hiring Platform That Reduces Time-to-Hire from 30 Days to 48 Hours
How I built a production-grade backend for Jaspi.io — an AI-powered hiring platform serving companies at $200/job — with zero-downtime deployments on AWS and AI screening pipelines that process hundreds of applicants simultaneously.
48 hours
Time-to-hire
$200 flat
Cost per job
Zero-downtime
Deployment model
Hundreds simultaneously
Applicant throughput
About the Product
Jaspi is a next-generation AI-powered hiring platform that automates the full recruitment lifecycle — from job post generation and candidate sourcing to async AI video interviews and real-time fit scoring. Companies use Jaspi to find and hire talent in 48 hours at a flat $200/job rate, eliminating the need for traditional recruiters.
The Challenge
Jaspi's backend needed to handle AI screening pipelines, async chat and video interviews, real-time candidate scoring, and seamless integrations — all reliably at production scale. The system had to be production-ready from day one with no room for downtime during live hiring workflows.
What I Built
- Designed and maintained backend services powering AI-driven hiring flows including job post generation, candidate sourcing, and screening pipelines
- Built secure, scalable REST APIs supporting async video interviews, AI fit scoring, and real-time candidate ranking
- Architected cloud infrastructure on AWS with Docker-based deployments and CI/CD pipelines for zero-downtime releases
- Integrated AI/ML services into the hiring workflow, collaborating closely with product and ML teams
- Improved infrastructure reliability and reduced operational risk through monitoring, alerting, and automated recovery
Outcome & Impact
Production-grade backend powering Jaspi's 48-hour hiring promise — enabling AI screening of hundreds of applicants simultaneously. Clean, scalable infrastructure foundation ready for rapid feature expansion as the platform grows.
Tech Stack
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