This systematic literature review (SLR) examines the role of artificial intelligence (AI) in recruitment techniques. AI technologies are being swiftly integrated into recruiting processes, enhancing and streamlining various stages from applicant sourcing to selection. The study aims to provide an overview of current research trends, challenges, and future directions in this topic. A comprehensive literature search utilising PRISMA principles on the Web of Science database yields 43 selected research papers from the past 15 years. The findings indicate that artificial intelligence has fundamentally transformed hiring processes by offering benefits such as reduced bias, enhanced cost-effectiveness, improved candidate experience, and increased efficiency. However, issues pertaining to data privacy, algorithmic bias, and human-AI interaction remain unresolved. Future research should focus on addressing these concerns and examining the ethical implications of artificial intelligence in recruitment.