Abstract: A system for intelligent AI-based optimization of processing of job applicants. The system includes a processor of a recruitment server connected to an applicant data provider node over a network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: receive data related to an applicant for a position from the applicant's data provider node; parse the data by a skill filter to derive a plurality of matching features; provide the plurality of the matching features to a machine learning (ML) module; receive a recommendation from the ML module pertaining to interviewing the applicant; responsive to a receipt of a positive recommendation, access live interview data; derive a feature vector from the live interview data; pass the feature vector to the ML module; and receive predictive outputs from the ML module indicating a degree to which the applicant fits the position.