Responsibilities: Develop and architect the core AI and machine learning systems that power the company's healthcare SaaS platform Design and implement highly scalable and robust software infrastructure to support the AI and SaaS components Lead and mentor a team of exceptional engineers, fostering a culture of innovation and continuous learning Collaborate closely with cross-functional teams, including product management, data science, and operations, to ensure seamless integration and delivery of high-quality products Qualifications: Proven experience as a co-founder and CTO of at least one successful startup, with a track record of building and scaling AI-powered products from the ground up Extensive expertise in AI, machine learning, and deep learning techniques, with a strong understanding of their applications in the healthcare domain Deep knowledge of cloud computing, distributed systems, and microservices architecture Proficient in programming languages such as Python, C++, and Java, as well as relevant frameworks and tools Exceptional problem-solving, critical thinking, and leadership skills Bachelor's or Master's degree in Computer Science, Engineering, or a related field Desired Qualifications: Current or recent experience as a Level 5 or Level 6 engineer at a FAANG company (Google, Amazon, Apple, Netflix, or Meta) Expertise in building and deploying AI and machine learning models at scale in a production environment Experience with healthcare data and regulatory compliance (e.g., HIPAA, GDPR) Hands-on experience with SaaS development and deployment pipelines Strong communication and collaboration skills, with the ability to work effectively in a fast-paced startup environment