Company Description DeeperSync Technologies helps businesses solve complex technology challenges by delivering smart, scalable solutions. The company focuses on custom software development, AI-driven innovation, cloud engineering, data solutions, and digital transformation that create tangible business impact. DeeperSync combines strong technical expertise with a partnership-first approach to help organizations innovate quickly, modernize securely, and grow sustainably. More than a traditional technology provider, DeeperSync positions itself as a long-term partner in building future-ready systems. Their guiding principle, “Deeper Partnership. Systems in Sync,” reflects a commitment to collaborative, integrated technology solutions.
Role Description As a Full Stack AI Engineer, you will design, develop, and maintain end-to-end web applications that integrate AI and data-driven features. In this full-time remote role, you will work across front-end and back-end systems, implement responsive user interfaces, build scalable APIs, and ensure robust integration with cloud and data platforms. You will collaborate closely with product managers, designers, and other engineers to translate business requirements into technical solutions, optimize performance, and improve reliability. Your day-to-day activities will include coding, reviewing pull requests, writing tests, deploying services, and monitoring production systems. You will also help evaluate new AI tools and frameworks, contribute to architectural decisions, and document processes and best practices to support ongoing innovation.
Qualifications
- Strong proficiency in Full-Stack Development and Software Development, including experience building production-grade web applications.
- Hands-on experience with Front-End Development and Cascading Style Sheets (CSS) for creating responsive, accessible user interfaces.
- Solid skills in Back-End Web Development, including API design, integration with databases, and performance optimization.
- Experience implementing AI or machine learning features within applications (e.g., using Python, TensorFlow, PyTorch, or similar frameworks).
- Familiarity with modern JavaScript frameworks (such as React, Vue, or Angular) and server-side technologies (such as Node.js, Python, or Java).
- Knowledge of cloud platforms (e.g., AWS, Azure, or GCP) and containerization/orchestration tools (e.g., Docker, Kubernetes) is highly beneficial.
- Strong problem-solving skills, the ability to work independently in a remote environment, and effective communication with cross-functional teams.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
