The role involves implementing algorithms and solutions across various industries by harnessing model capabilities. The engineer acts as a link between data scientists and platform engineers to develop business-centric solutions using generative AI technology. Responsibilities include designing and building scalable products, from benchmarking foundation models to iterating prototypes and validating ideas. The engineer orchestrates AI workflows to integrate model capabilities into applications while focusing on performance, security, and efficiency. Additionally, the role requires navigating prompts, chains, and agents while managing underlying infrastructure challenges.

Candidates must possess a bachelor's or master's degree in computer science, AI, or a related field. The role requires at least five years of experience in NLP, ML, or AI, with a minimum of three years specifically in Generative AI. Applicants need strong coding proficiency in Python and experience with cloud-based AI services and vector databases. Furthermore, the position demands excellent communication skills, problem-solving abilities, and the capacity to collaborate within diverse teams.