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Software Engineer, AI Research & Prototyping

Sagecare·Worldwide·HQ·mid
llm
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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, 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 ROLE Voice AI is moving fast. New models, new orchestration patterns, and new evaluation techniques appear every month, and some of them would make our agents meaningfully better. The hard part is knowing which ones, proving it with evidence, and getting that knowledge into the hands of the team. We are hiring a Software Engineer to own that pipeline from idea to evidence. You will stay close to what is emerging in the research community and the voice AI ecosystem, design experiments we can trust, and turn promising ideas into tested prototypes on real production data. Just as importantly, you will teach: every investigation you run ends in something the team can use, whether that is a benchmarked prototype, a technical deep-dive, or a clear recommendation with evidence behind it. This is not a research-for-publication role, and it is not a production ownership role. It is for someone who prototypes fast, measures honestly, and makes the people around them smarter. WHAT YOU'LL DO - Track emerging techniques in voice AI, LLM reasoning, and agent systems, and identify which ones matter for us - Design structured experiments with real controls: know when a result

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