Datadog

Staff Software Engineer focused on building and scaling ML Observability tools for LLMs and generative AI, including drift detection, model evaluation, and behavior tracing. The role involves leading feature development, shaping product direction, and influencing architecture to ensure AI systems are observable, understandable, and reliable in production.

Senior Software Engineer on the AI Platform team at Datadog, focusing on designing and evolving systems for measuring AI quality at scale. This includes building evaluation pipelines, model performance monitoring, and annotation workflows to assess correctness, safety, bias, and reliability. The role partners with product, ML, and infrastructure teams to define quality standards, integrate evaluation systems with observability, and build human-in-the-loop feedback mechanisms.