Creating an AI-Powered Talent Acquisition Platform
Learn how DBB Software helped an aspiring startup improve its existing applicant tracking system through a complete redesign, the addition of new features, and architecture expansion.
Industry
HR Platforms
Service
MVP development
Team
2 Full-Stack Developers, 1 Designer, 1 PM
Project State
July 2024 – Ongoing
Country
United States
The Client's Initial Request
The startup approached DBB Software with a clear set of goals for their candidate search platform, with a focus on improving their existing solution:
Redesign the Existing Website
Transform the PoC site into a modern, user-friendly interface based on a newly approved design system.
01
Enhance Existing Features
Fix bugs and optimize current functionality to improve user experience.
02
Develop AI-Powered Features
Introduce advanced capabilities, such as AI-driven (using RAG) candidate filtering, ranking, and profile enrichment.
03
Solutions We Delivered
DBB Software collaborated closely with the client to deliver a redesigned, feature-rich, and scalable ATS platform using an agile development approach.
Website Redesign
Implemented a modern front end using React, TypeScript, Next.js, and Tailwind CSS, paired with Radix UI for accessible components, ensuring an intuitive user experience..
AI-Powered Features
Leveraged large language models (LLMs) to generate dynamic filters for candidate searches, enable conversational filters, and fill missing candidate data automatically.
Platform Expansion
Beyond the redesign, built out user management, data import/export functionality, CI/CD pipelines, and automated testing to transition the PoC into a production-grade MVP.
Optimization Focus
Post-PoC, prioritized performance optimization to enhance UX and reduce AI-related operational costs by eliminating redundant operations, streamlining backend logic, and sending only essential, pre-processed data to the AI.
Results Achieved
Successful MVP Launch
Transitioned from PoC to a production-ready MVP to showcase the platform to early adopters.
Enhanced User Experience
Optimized AI-driven features and intuitive UI received positive feedback from initial users for streamlining candidate searches.
Scalable Foundation
Established a robust, scalable architecture using the Pre-Built Solutions’ components to support growing user bases and future feature expansions.
