Recruitment Technology Recruitment
HelloHive

HelloHive

AI Resume Intelligence & Candidate Prep

The challenge

An AI resume intelligence pipeline for the helloResume platform that parses and rewrites candidate resumes, matches them against specific job descriptions, and generates fit scores and role-specific interview prep, built to scale to 3,500 requests per minute.

How we built it

We built a resume intelligence pipeline that parses multiple PDF and Word resumes simultaneously, rewrites and enhances bullet points, then runs each resume against specific job descriptions to produce match scores and fit statements. The API layer was designed to scale to 3,500 requests per minute for platform-wide deployment, and the system surfaces high-potential candidates that traditional keyword filters would have missed entirely.

How the system works

The actual AI architecture we designed and shipped for HelloHive.

HelloHive AI system architecture diagram

Specifically, what we built

  • AI parsing of multiple PDF and Word resumes with duplicate removal
  • Bullet enhancement and two-line reformatting
  • Resume-to-job-description fit matching and fit statements
  • Scalable API infrastructure planned up to 3,500 requests/min

The measured impact

  • Supported 20x higher hire rates and 60% faster resume reviews
  • Supported $250K+ in cost savings per 10 hires
  • Surfaced high-potential candidates traditional filters miss

Key result

20x

higher hire rates supported

Build something like this for your business

Book a free 30-minute AI audit and we will scope exactly what is possible for your specific workflows.

Client

HelloHive

Recruitment Technology