Principal Engineer

Design and productionize Retrieval-Augmented Generation (RAG) pipelines that improve LLM accuracy, while writing clean, modular Python backend code. Deploy and secure GenAI applications on AWS, GCP, or Azure, manage and tune vector databases for fast semantic retrieval, and integrate enterprise LLMs via secure APIs. Monitor token usage, latency, and retrieval quality in production to ensure reliable performance at scale.