The role involves designing, developing, and maintaining scalable Python-based platforms to support AI-driven applications. The engineer will implement backend services and APIs while ensuring seamless integration with various internal and external systems. A significant portion of the work focuses on applying expertise in Generative AI models and architectures to advance the company's AI capabilities. The position requires collaboration with researchers, data scientists, and product teams to translate complex requirements into technical designs. Additionally, the engineer will contribute to cloud architecture evolution and ensure the delivery of production-grade solutions through rigorous testing and code reviews.

Candidates must possess at least six years of experience in developing scalable Python-based platforms and five years of experience delivering complex Python solutions into production. Required technical expertise includes proficiency with specific Python libraries, Generative AI architectures, and Agentic AI principles. Applicants are expected to have experience with public cloud offerings and modern software development practices such as CI/CD and agile methodologies. A Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field is required.