AI Diagnostics & Observability Engineer

ABOUT SAGE CARE Sage Care http://sage.care/ is a fast-growing Series A healthcare technology startup founded by leaders from Apple, Uber, and Carbon Health. We recently emerged from stealth with $20 million in funding led by Yosemite, and investors including General Catalyst, Metrodora Ventures (co-founded by Chelsea Clinton), OVTR.VC http://OVTR.VC, SV Angel, Liquid 2 Ventures, Seven Stars, Refract Ventures, AME Cloud Ventures, and Apolo Ohno. Our founding story and vision were profiled in Forbes https://www.forbes.com/sites/amyfeldman/2025/10/17/how-two-ride-share-guys-and-an-er-doc-are-building-an-air-traffic-control-system-for-healthcare/, highlighting Sage Care’s mission to build an “air-traffic-control system for healthcare.” With a strong customer pipeline, Sage Care is transforming healthcare by simplifying care navigation. Our platform makes it easier for patients to find the right doctor, helps providers focus on those who need them most, and ensures faster access to care. By harnessing clinically grounded AI and real-time optimization, we improve operational efficiency, increase system capacity, and deliver better patient outcomes at scale. THE ROLE Every day, our AI agents handle thousands of real patient conversations. Those conversations contain the information needed to improve the system. Today much of that learning process is still manual. Humans review calls, identify issues, investigate failures, and work with engineers to improve agent behavior. Your mission is to build the systems that close that loop. As a Senior AI Reliability Engineer, you will own the feedback and quality platform that helps our agents learn from production conversations. You will build systems that detect failures, analyze root causes, incorporate human feedback, and drive continuous improvements in agent performance. This role sits at the intersection of AI evaluation, production reliability, feedback systems, and agent quality. You will work closely with AI engineers, ope