An AI engineer is a specialized software engineer responsible for building, deploying, and maintaining production-ready AI systems, bridging the gap between data science and software development by ensuring machine learning models are scalable, reliable, and well-integrated into applications. Their role encompasses designing robust data pipelines, operationalizing models into deployable artifacts, managing cloud infrastructure, and integrating models through APIs, all while using a hybrid skill set that combines knowledge of software development, DevOps, and machine learning. Unlike data scientists, who focus on data insights, and machine learning engineers, who concentrate on optimizing models, AI engineers prioritize creating robust and scalable applications powered by AI models. Tools like Eden AI simplify the integration and management of AI services by offering a unified API for accessing various models, thus reducing development time and maintenance overhead. This allows AI engineers to focus on selecting optimal models, monitoring performance, and ensuring system resilience, thereby facilitating the transition of AI from theoretical concepts to practical applications.