AI Marketing
AI Recruitment Marketplace
We developed a minimum viable product to test the market for an AI-powered hiring platform that handles majority of admin work from recruiters
- USA
- 2025
Outcomes
- AI-ranked shortlist per role
- Candidate screening
- Resumes and job posts structured before analysis
- Matching input
- 2, from one backend
- Marketplace sides served
The Vision & Challenge
The recruitment market is saturated with platforms, yet fundamental inefficiencies persist. Employers spend countless hours sifting through mismatched applications, while qualified candidates often miss the right opportunities. The space between talent and the companies that need it is filled with manual processes and guesswork.
The client, a new recruitment marketplace, identified this friction as its core business opportunity. Their hypothesis was that an intelligent system could filter the noise, connecting the right people to the right roles with greater precision than human screeners alone. The challenge was not the idea, but proving its viability in a real-world application.
To validate this concept with minimal initial investment, they required a functional MVP. We were engaged to build the foundational platform, from the backend architecture to the AI-driven matching engine. Our work was to provide the technical proof needed to test their business model directly with users.
The challenge
- Translating unstructured resume and job description data into reliable, structured inputs for an AI matching engine.
- Designing a cohesive platform that serves two distinct user groups-employers and job seekers-with separate, intuitive workflows in an MVP scope.
- Architecting a backend that was lean enough for an MVP but robust enough to manage secure document handling, multi-user authentication, and future growth.
How we solved it
- We implemented a data processing layer that structured information from resumes and job posts before passing it to OpenAI GPT models, ensuring consistent and relevant analysis for matching.
- A Laravel backend with role-based access control was built to serve two distinct React.js frontends, providing tailored dashboards and tools for each user type.
- A scalable RESTful API was developed using Laravel, centralizing business logic and providing secure endpoints for authentication, job posting, and application management.
Technologies used
Front-end
- JavaScript
- ReactJS
- HTML5
- CSS3
Back-end
- PHP
- Laravel
DevOps
- Linux
Database
- MySQL
Intelligent Candidate Ranking
The system ingests job requirements and analyzes the text of candidate profiles and resumes. Using OpenAI models, it assesses qualifications, experience, and skills to generate a ranked shortlist of applicants for each role. This moves beyond simple keyword matching to provide employers with a prioritized list based on genuine suitability, saving significant screening time.
Dual-Sided Dashboards
The platform provides two distinct interfaces served from a single backend. Employers receive a dashboard focused on managing job postings and reviewing AI-ranked candidate lists. Job seekers are given a personalized view that surfaces relevant job recommendations and allows them to track their application status. This separation ensures a focused and efficient experience for both sides of the marketplace.
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