The role involves implementing algorithms and solutions across various industries by harnessing model capabilities. The engineer serves 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 optimizing performance, security, and efficiency. Additionally, the role requires navigating prompts, chains, and agents while addressing underlying infrastructure challenges.

Candidates must hold 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 of hands-on experience in Generative AI. Proficiency in Python and relevant frameworks such as PyTorch, Hugging Face, LangChain, and LlamaIndex is necessary. Furthermore, applicants must demonstrate experience with cloud-based AI services, vector databases, and transformer architectures, alongside strong communication and problem-solving abilities.