Full Stack Developer (Hybrid/Remote)

Job Title: Full-Stack Engineer Location: Hybrid Role We are seeking a talented and versatile Full-Stack Engineer to join a leading vehicle security systems business. In this role, you will collaborate closely with developers, operations teams, and customers to conceptualize and deliver innovative AI-based and non-AI computer vision software solutions, primarily focused on vehicle applications. You will play a key role in building robust, user-friendly, and scalable platforms that integrate advanced computer vision, telematics, and cloud-based video storage systems. Collaborate with cross-functional teams to design and implement cutting-edge computer vision applications, including AI-driven and traditional solutions. Architect and develop both client-side and server-side systems optimized for computer vision on vehicles and edge devices. Build visually appealing, user-friendly front-end applications that deliver complex computer vision insights seamlessly. Optimize software performance on edge processing hardware, such as Linux running on AArch64 architecture. Design, implement, and manage databases to efficiently support computer vision and telematics functionalities. Develop high-performance APIs for integration with telematics platforms and third-party applications. Conduct rigorous testing, debugging, and optimization to ensure high responsiveness, reliability, and scalability. Implement robust security and data protection measures for cloud-based video storage and transmission. Create mobile-responsive features that integrate telematics data with computer vision analytics. Experience: Proven experience as a Full Stack Developer, ideally within computer vision product environments. Front-End: Strong proficiency in PHP, HTML, CSS, and JavaScript, with experience implementing computer vision algorithms on the front end. Back-End: Expertise in Python, PHP, and C++, with hands-on experience using frameworks such as Flask and Django, and integrating computer vision capabilities. Computer Vision: Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, or PyTorch. Databases & Servers: Solid knowledge of MySQL, MongoDB, and web servers like Apache. UI/UX: Good understanding of UI/UX principles to build intuitive and visually appealing applications. Bachelor’s or Master’s degree in Computer Science, Electronics, or a related technical field. Work on pioneering projects that blend AI, computer vision, and telematics to shape the future of vehicle technologies.