The Evolving Landscape of IT Recruitment, Challenges and Innovations

Abstract

The rapid evolution of the information technology (IT) has significantly transformed recruitment practices, introducing complex challenges in identifying, evaluating, and hiring skilled professionals. It emphasizes the role of Artificial intelligence in optimizing acquisition processes, improving hiring efficiency, and enhancing candidate-job fit. In addition to skill assessment and developing recommendations, the system offers real-time job listings that matches the user’s skill profile. It provides detailed information about available positions, including job descriptions, company details and application recruitment. The proposed study attempts to address these issues, with an intelligent recruitment system that integrates automation, data analytics, and generative artificial intelligence. The scheme streamlines resume screening, skill matching, and candidate shortlisting by leveraging AI-driven analysis and structured data management. The aggregation highlight that AI-driven recruitment scheme importantly reduce time to hire, better screening consistency, and support fairer hiring practices. This research emphasizes the role of intelligent technologies in reshaping IT recruitment and provides a scalable framework for organizations seeking efficient, unbiased, and a future ready talent acquisition spaces. To handle the unstructured resume and to generate structured candidate profiles, the Generative AI models are employed, which are further ranked using similarity scoring and specify recruitment criteria.