Sage Care Software EngineerSage 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, helps providers focus on those who need them most, and ensures faster access to care, delivering better care and stronger economic outcomes at scale 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 RoleOur AI voice agents talk to real patients every day.
This role is where those conversations get better.We are hiring a product-minded Software Engineer to help build and improve Sage Care's voice AI platform. You will ship features to production, debug issues from live calls, and improve how our agents perform in practice. This is a hands-on role where you will learn how AI systems behave in the real world and what it takes to make them reliable, fast, and genuinely helpful to the person on the phone.You will work closely with experienced engineers and product to deliver high-quality voice experiences for patients and providers, with real ownership from your first weeks.What You'll DoBuild and ship features for AI-powered voice experiencesDebug issues from real calls and improve system behaviorWork with the components of a production voice stack: transcription, LLMs, and APIsHelp improve latency, reliability, and conversation qualityContribute to testing, monitoring, and observabilityCollaborate closely with product to iterate on user experienceWhat We're Looking ForRequired2 to 3 years of software engineering experienceStrong programming skills (Python preferred)Experience building backend systems, APIs, or services that handle real user requestsProduct mindset: cares about user experience and outcomesEagerness to learn and work in a fast-paced environmentComfortable with ambiguity and problem-solvingNice to HaveExposure to AI/ML or LLM-based applicationsExperience with real-time systems or APIsInterest in voice systems or conversational AIExperience at a startup or small teamWhat Success Looks LikeShips features that improve real patient and provider experienceCan debug and fix issues in production with guidanceGains a working understanding of how AI systems behave in practiceContributes to improving system reliability and performanceGrows into owning components end-to-endWhy This Role MattersMost engineers wait years to work on systems that matter this directly.
Here, the code you ship changes whether a patient reaches care today. You will learn production AI from engineers who operate it every day, on a system where quality is not abstract: it is a phone call with a person who needs help.