Senior Full Stack Engineer

Architect and deploy secure, end-to-end AI and Generative AI systems across cloud and on-premise environments. Lead the full engineering lifecycle, including MLOps, data pipeline orchestration, and the optimization of model inference and cloud costs.

Requires extensive experience in containerized AI/ML applications, deep learning (NLP/CV), and expert-level proficiency in Python and Azure/AWS. A strong mathematical foundation in transformer architectures and experience with enterprise-scale software architecture are essential.