Full-Stack Developer (AI-Augmented)

Texas Sports Academy is seeking a talented and passionate Full-Stack Developer (AI-Augmented) to join our innovative tech team. As a leader in the sports training industry, we leverage cutting-edge technology to enhance athletic performance, offering customizable solutions for athletes and coaches. In this role, you will be responsible for the design, development, and maintenance of our comprehensive web applications that integrate advanced AI technologies. Your expertise will help us to improve user experience, implement robust features, and ensure seamless performance across platforms. You will collaborate closely with cross-functional teams, including data scientists and UX/UI designers, to transform concepts into powerful software solutions that meet our clients' needs. The ideal candidate will have a strong passion for sports technology and a commitment to leveraging AI to revolutionize the way athletes train. With a dynamic work environment and projects that push the boundaries of sports performance, you will have the opportunity to contribute significantly to the future of athletics and play a vital role in shaping how technology integrates with sports. Responsibilities Design and develop scalable web applications utilizing various technologies across the stack. Integrate AI algorithms and models to enhance user engagement and performance metrics. Collaborate with data scientists and designers to conceptualize features that meet user needs. Maintain and improve existing software applications to ensure optimal functionality and user experience. Conduct regular code reviews and provide constructive feedback to team members. Develop and implement testing strategies to ensure software reliability and performance. Document processes, specifications, and code to ensure team alignment and knowledge sharing. Bachelor's degree in Computer Science, Software Engineering, or a related field. Proven experience as a Full-Stack Developer with a deep understanding of front-end and back-end technologies. Strong proficiency in programming languages such as JavaScript, Python, or Java. Experience with front-end frameworks (e.g., React, Angular, Vue.js) and back-end frameworks (e.g., Node.js, Django, Flask). Familiarity with AI technologies and machine learning concepts. Excellent problem-solving skills and the ability to work collaboratively in a team environment. Strong communication skills and the ability to convey technical information effectively. #J-18808-Ljbffr