Generative AI Recruitment Portal
Transforming Applicant Management
Project Brief
Dubai Business Associates (DBA) is a prestigious graduate program that attracts top-tier global talent. To streamline their recruitment process and enhance candidate evaluation, we developed a custom web-based recruitment portal tailored specifically to their multi-stage selection workflow. Our focus was on building a scalable system that enabled the DBA team to efficiently manage thousands of applications, improve internal collaboration, and prepare for future AI-driven enhancements.
The Challenge
The previous recruitment process at DBA involved a combination of emails, spreadsheets, and third-party form tools—resulting in:
- Inefficient application tracking and evaluation
- Disconnected communications between reviewers, coordinators, and management
- No central repository for application data or reviewer feedback
- Inability to rank or filter applicants intelligently at scale
The client needed a purpose-built solution that matched their unique multi-stage pipeline, could handle large applicant volumes, and was easy to use for non-technical staff.
Our Approach
We designed and built a full-featured recruitment portal from the ground up with the following key components:
- Custom pipeline with stages like Applied, Reviewed, Interviewed, Finalist, Accepted
- Drag-and-drop functionality to move applicants between stages
- Filtering, sorting, and tagging options for better control
- Left-to-right layout showing a list of candidates on the left and full details on the right
- Resume, cover letter, and reference documents viewable in-app
- Comments and notes per candidate to track internal discussions
- Dashboard with visual insights on applicant flow and reviewer activity
- Role-based permissions for admins, reviewers, and coordinators
- Exportable reports and candidate summaries for board presentations
- Designed the system to integrate AI scoring and natural language search
- Future-ready backend to support LLM-driven query handling like “Show me female candidates under 30 with leadership experience”
Technology Stack
- Frontend: Html5, React & Bootstrap
- Backend: Laravel 11
- Queue System: Laravel Queues with Redis for async task handling
- Authentication: Secure login with session management and access control
- Infrastructure: Deployed on cloud-based Linux servers with SSL and backups
- 100000+ applications processed so far
- 80% faster shortlisting due to clear filters and reviewer tools
- Centralized decision-making, reducing miscommunication across departments
- Significantly reduced reliance on email chains and spreadsheets
- Positive user feedback from both internal staff and external reviewers
Conclusion
By building a custom recruitment platform for DBA, we enabled their team to transition from a fragmented manual process to a centralized, efficient, and scalable system. The foundation is now in place to support future AI-driven features like automated scoring and intelligent search—ensuring DBA continues to attract and manage global talent with world-class tools.