Knowledge Routing Engineer

ABOUT SAGE CARE Sage Care is a fast-growing, early-stage healthcare startup founded by exceptional leaders from Apple, Uber, Carbon Health and backed by top-tier venture capital (General Catalyst, Chelsea Clinton). 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 and helps providers focus on those who need them most through harnessing the latest AI innovations. Building on our successful collaborations with health systems across the U.S., we have expanded internationally to the MENA region. We are now partnering with health systems there to deploy our AI-powered care navigation platform. ABOUT THE ROLE Every day, our services match real patient queries, symptoms, and pathologies to providers, sites of care, and urgency. These mappings are highly complex and non-linear, ranging from queries like “back pain” to “doctor for head trauma”. Today, much of this mapping is hand-tuned and heuristic driven, leveraging some NLP tooling and medical expertise, but limited in scope and expandability. We are looking for someone to own the knowledge encoding piece of this puzzle, helping us learn from real patient data and medical diagnoses and symptoms to help us build out an encoded representation that can translate real patient requests into actionable results. This role sits at the intersection of ML/AI research and software engineering. We’re looking for someone who can help build out the core routing engine for our agent. You will work closely with engineers who work on the matching software, medical experts and professionals who can help guide an informed, encoded knowledge representation. WHAT YOU'LL DO Build and own the core symptom and query routing engine - Build models that can map complex queries and symptoms to urgency classifiers, providers, and specialties. - Build learned decision trees that can infer if there are necessary follow up questions to