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In today’s job market, finding a suitable job is a complex task that requires innovation to ease the complexity of finding the job. As technology shapes the business landscape, a deeper understanding of the Advance Natural Language Processing (NLP) and using it properly will elevate the solution of finding the match between candidates and employers. In this research, comparative approach between GPT-2 and T5 model has been done to find out the best model for the job matching chatbot. Also, in this chatbot multiple criteria decision making method has been used to find the best job related to the user’s requirement. The research novelty is a chatbot that works based on the Transformer-based Text-to-Text Transfer Transformer (T5) model and compare it to GPT-2 to address the challenges of finding the best job based on job seekers’ preferences and also compare both generated answers to realise the accuracy …