joyfulhealth · New York City
Skills: Python, MongoDB
New York, NY · Full-time · Hybrid (in office 3 days a week) · $150,000 - $275,000 + equity We’re deploying advanced agents into the real world to solve some of the biggest pain points in healthcare, and bringing the JOY back to healthcare by fixing the financial chaos behind it. Every year, healthcare practices fail to collect an estimated $125 billion in earned revenue. The money disappears into fragmented financial data, manual workflows, and opaque payer systems that don’t talk to one another. Often, these costs are passed on to patients through higher bills or rising health costs, and for many practices the losses are fatal. Joyful Health builds AI agents that take on insurers so providers get paid for the care they deliver. We didn’t start with a product. We spent ten months working as fractional CFOs for a dozen practices, doing the work alongside providers before we wrote the technology that automates it. We just announced our $22M Series A, led by CRV, with world-class investors including the founders of MongoDB and KAYAK. Now we’re doubling our engineering team. ABOUT THE ROLE We’re looking for a talented and ambitious AI Engineer with 4+ years of experience building production AI systems who’s excited to solve one of the toughest challenges in healthcare: automatically resolving claim denials. You’ll be the technical lead for our agentic AI platform that autonomously researches, understands, and resolves insurance claim denials, helping healthcare practices recover millions in lost revenue. Resolving denials requires deep expertise in medical billing, payer rules, and claim documentation. Today, billing managers spend hours manually researching each denial, gathering supporting documentation, and crafting appeals. We’re building an agentic AI system that automates this entire workflow, from denial classification and root cause analysis to evidence gathering and appeal letter generation. You’ll architect and build the intelligent agents that power this syst…
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