The role involves serving as a bridge between data scientists and platform engineers to implement business-centric Generative AI solutions. The engineer will design and build scalable products by rapidly iterating on prototypes and validating ideas. Responsibilities include orchestrating AI workflows, integrating advanced model capabilities into applications, and optimizing for performance, security, and compliance. The position requires navigating between prompts, chains, and agents while addressing underlying infrastructure challenges. Additionally, the engineer will work with cross-functional teams to deliver enterprise-grade rollouts and document best practices for future scaling.

Candidates must hold a bachelor's or master's degree in computer science, AI, or a related field from a top university. The role requires at least two years of experience in NLP, ML, or AI, including a minimum of one year of hands-on experience in Generative AI. Proficiency in Python and experience with cloud-based AI services, vector databases, and transformer architectures are necessary. Additionally, candidates must be fluent in English and Cantonese, with strong communication and problem-solving skills.