In the modern, highly competitive employment environment, job seekers find the lengthy time and effort spent in the manual search for job applications and completion of repetitive forms on various online sites problematic. This is one labour-intensive undertaking, not only tiresome but often leads to lost opportunities and a lack of motivation. The current job platforms usually have low automation, whereby the user does most tasks related to the application process. To eliminate such inefficiencies, we suggest an autonomous job application agent that is powered by AI and fully automates the job search and application agent that fully automates the job search and application workflow. The basic building blocks of this system are advanced Large Language Models (LLMs) that can sensitively search user resumes against the available job advert and provide answers to application questions based on the context. Examples of automation tools used by the agent to fill in and submit application forms include Puppeteer and Selenium, which can run smoothly in the cloud, also adding to the convenience of users by monitoring the applications submitted by them, in order to receive timely email notifications and be confident of a secure authentication process using Firebase. Unlike the conventional solutions, the proposed agent can work independently even when the users are not online by providing intelligent resume analysis, streamlining the job application process, and making it quicker, simpler and more effective for the user. Our system will position the future of automated career management through the reduction of manual work, the maximum possible number of successful placements, and convenience for user privacy.