• Design, implement, and optimize advanced AI models and algorithms using Python, foundational models like RAG, and other relevant technologies. • Design and develop robust APIs using frameworks like Flask to facilitate seamless integration and interaction between AI models, tools, and other systems. • Collaborate with cross-functional teams to integrate AI capabilities into user-friendly tools and applications, focusing on enhancing functionality and user experience. • Leverage AWS services and tools to deploy, scale, and manage AI models and applications in a secure and efficient manner. • Use big data technologies to process and analyze vast amounts of data, enabling the development of accurate and insightful AI models. • Develop robust data architectures and ETL pipelines to ensure smooth data flow, data quality, and data integrity throughout the AI development lifecycle. • Develop and execute comprehensive testing strategies and implement CI/CD pipelines to ensure code quality, reliability, and efficient deployment of AI models and applications. • Actively participate in code reviews, providing constructive feedback and ensuring adherence to coding best practices and standards. • Continuously monitor and optimize the performance and scalability of AI models and applications, ensuring they meet the highest standards of efficiency and reliability. • Work closely with UI/UX engineers, software engineers, and product managers to ideate, prototype, and implement innovative AI solutions that push the boundaries of what's possible. • Keep abreast of the latest research and advancements in AI, ML, and data engineering, and apply this knowledge to drive innovation and improve our AI-powered tools and GenAI solutions.