AI-Based Recruitment Management System
An intelligent recruitment platform that automates candidate screening, shortlisting, and hiring decisions using AI-driven insights.
Index
Overview & Strategic Context
Client/Product: Callimacus – an AI-based recruitment management system
Domain: HR / Recruitment Technology
The client envisioned a next-generation recruitment platform that seamlessly connects employers with top talent. By leveraging artificial intelligence, predictive analytics, and cloud-native architecture, the goal was to transform traditional hiring practices into a data-driven, AI-powered recruitment process.
Domain: HR / Recruitment Technology
The client envisioned a next-generation recruitment platform that seamlessly connects employers with top talent. By leveraging artificial intelligence, predictive analytics, and cloud-native architecture, the goal was to transform traditional hiring practices into a data-driven, AI-powered recruitment process.
Core Value Proposition:
- AI-driven candidate search with intelligent filtering, semantic analysis, and predictive analytics.
- Intuitive employer dashboard for job postings, automated shortlisting, and interview scheduling.
- Scalable cloud-native architecture supporting millions of candidates and recruiters.
- Stringent compliance and security standards for global recruitment operations.
Strategic Objectives
- Provide a frictionless and user-centric experience for employers and job seekers.
- Ensure scalability from 10K to over 1M users with consistent performance
- Reduce bias and inefficiencies in recruitment through AI-driven automation.
- Differentiate via real-time analytics, predictive matching, and fraud prevention.
Problem Statement
Client required an AI-based recruitment management system to solve key industry
challenges:
- Fragmented candidate databases spread across multiple platforms.
- Manual, error-prone, and keyword-based candidate screening.
- Lack of robust tools for job postings, applicant tracking, and hiring decisions.
- Performance issues with increasing candidate traffic and application volumes.
- Scalability needs to grow user base exponentially without downtime.
- Bias and inefficiencies leading to lower trust in recruitment systems
Our Solution
Client partnered with our Agile team to design and develop Callimacus, an advanced AI-based recruitment management system.
Key Features
- AI Recommendation Engine
- Personalized hiring matches using natural language processing (NLP), semantic search, and behavioral data modeling.
- Smart Candidate Search
- Full-text, geo-based, and multi-filter candidate discovery with sub-350ms query latency.
- Employer Dashboard
- Seamless job postings, AI-powered shortlisting,automated interview scheduling, and real-time analytics.
- Candidate Experience
- AI-driven resume parsing, profile building, instant job alerts, and interactive engagement.
- Fraud Prevention
- AI-powered anomaly detection and identity verification to reduce fake profiles and fraudulent activities.
- Scalable Microservice Architecture
- Independent services for search, recommendations, notifications, and analytics, ensuring zero downtime at scale.
Team Structure
The solution was delivered by a 12-member Agile team, including:
- 1 Project Manager / Scrum Master
- 1 Solution Architect
- 3 Backend Developers
- 3 Frontend Developers
- 1 UI/UX Designer
- 2 QA Engineers
- 1 DevOps Engineer
Technology Stack
Frontend
- ReactJS, Svelte, Turbo Repo
Backend & APIs
- FastAPI (Python), Node.js, REST API, JWT Auth, AWS API Gateway
Databases
- PostgreSQL, MongoDB, MySQL
AI & Machine Learning:
- AWS SageMaker, AWS Bedrock
Infrastructure & DevOps
- AWS ECS, AWS Lambda, AWS EC2, AWS S3, Temporal,
CloudWatch, Bitbucket CI/CD, JIRA, Confluence
Security
- AWS Cognito, AWS IAM, JWT Authentication
Outcomes & Business Impact
The AI-based recruitment management system delivered measurable results:
- 48% improvement in candidate relevancy with the AI recommendation engine
- Sub-350ms query latency (p95), ensuring a fast, responsive search experience.
- Onboarded80,000+ job seekers in the first six months,surpassing initial targets.
- Achieved a 68% employer retention rate, driven by streamlined workflows
- Reduced fraudulent activities by 94%, improving trust and credibility.
- Seamlessly scaled from 10K to 800K users with zero downtime
Conclusion
This case study demonstrates how Codevian successfully developed and deployed Callimacus, an AI-based recruitment management system, to revolutionize modern hiring. By combining AI-powered candidate matching, scalable
microservices, and advanced fraud prevention, the platform empowers employers to hire
faster, smarter, and with greater confidence.
The solution has already proven its scalability and effectiveness, setting a strong foundation for future growth into global recruitment markets.
