Case Study Snapshot

Client: Intelligent Machines (Bangladesh)

Hiring mode: On-site, full-time

Roles hired: Mobile App Developer, Backend Engineer, Frontend Developer, SQA Engineer

Applicant volume: ~150 applicants per role

Airwork output: 10 high-match candidates per role

Outcome: 4 engineers hired in ~60 days

Timeline: Sep 7, 2025 → Oct 8, 2025

About Intelligent Machines

Intelligent Machines is a Bangladesh-based technology company building digital products and solutions. As demand grew, the company needed to scale engineering quickly without letting hiring overhead slow product momentum.

The Challenge

Hiring wasn’t failing because Intelligent Machines couldn’t attract applicants. It was failing because volume created drag.

Each role drew roughly 150 applicants. That turned hiring into a daily tax:

• Screening took too long
• Hiring workflows were fragmented
• Interview scheduling ate internal bandwidth
• Roles stayed open long enough to slow delivery
• Scaling across multiple levels became operationally painful

When you’re hiring one engineer, you can brute-force it. When you’re hiring across multiple roles at once, brute force breaks.

Hiring Requirements