AI in a Talent Hunt: Unlocking the Future of Recruitment

Abstract: In today's rapidly changing hiring landscape, having the right HR tools is vital for achieving and maintaining a competitive advantage and attracting skilled and talented individuals. Artificial Intelligence, particularly Generative (Gen) AI, is an important asset that can enable a swift response to unforeseen changes and provide better insights when deployed correctly. This paper will explain how leveraging Large Language Models (LLMs) in talent services can significantly benefit an organization. We will also show how LLMs can enable different patterns that help build solutions to address complex user requests. The study proves how AI agentic systems designed for this use case can separate a complex request into smaller "chunks of actions" in which each task is optimized and potentially reassessed. The "collective" response from the system will enable the HR service specialist to make an informed decision in a shorter time. This work shows how introducing AI solutions improves user experience, achieves automation, and elevates recruiting team capabilities. At the same time, a key focus is placed on mitigating the risk of introducing AI within the recruiting technology stack. The paper focuses on the following knowledge domains: Recruitment, Talent and Skills Development, and Employee and HR services.

Keywords: AI, HR, Recruitment, LLMs, Generative AI, Enterprise, Hiring, Agents, Decision, Insights

DOI: 10.54941/ahfe1006109

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