# Senior Software Engineer \(Fullstack\) - Company: [Clarion]() - Location: NYC Office - Team: Engineering - Employment type: Full Time - Salary: $185K – $225K - Posted: February 22, 2026 ## Job description ## About Clarion At Clarion, we’re rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30–40% of patient calls, while staff are overwhelmed by administrative work. We believe AI agents should handle these workflows—scheduling, billing, prescription refills, and follow-ups—so healthcare teams can focus on actual patient care. We’re building the communication infrastructure modern healthcare needs. Our AI agents don’t just answer calls—they complete workflows end-to-end, ensuring patients never go unheard. To date, we’ve handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company. Clarion was founded by a Stanford/Harvard-trained physician (founding team at Two Chairs and Ophelia) and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. We’ve raised $10M from Accel, Y Combinator, Sequoia (Scout), and leading healthcare founders. We’re an in-person team in New York, moving fast to solve one of healthcare’s most critical problems. ## Why This Role Is Special * **Real traction, early-stage impact:** Dozens of paying customers, rapidly growing revenue, and the chance to shape core systems at an inflection point. * **Mission-critical problem:** Healthcare communication failures affect millions daily—your work directly improves patient access and outcomes. * **Elite technical context:** Work closely with founders who deeply understand both healthcare operations and advanced AI systems, enabling fast decisions and real ownership. ## What You’ll Own * **Lead the deployment, performance, and reliability** of AI agents operating in live, high-stakes healthcare environments. * **Architect and scale** full-stack systems integrating with EHRs, legacy healthcare platforms, and real-time voice infrastructure. * **Drive technical strategy** for customer-facing solutions, collaborating with product and engineering to translate client needs into scalable architecture. * **Mentor engineers and set standards** for code quality, testing, security, and HIPAA-compliant development. * **Shape product roadmap** by identifying systemic challenges in customer workflows and proposing high-leverage technical solutions. ## Interesting Technical Challenges * **Generative AI at Scale**: Design and operate production systems using LLMs with rigorous safety, alignment, and real-time monitoring at enterprise scale. * **Real-time voice infrastructure:** Build ultra-low-latency systems supporting thousands of concurrent calls with 99.99% uptime. * **Fragmented healthcare systems:** Design resilient abstraction layers across modern APIs and legacy platforms while maintaining security and compliance. * **Highly Personalized Experiences**: Develop adaptive AI that retains patient context across sessions, personalizes tone and flow, and delivers conversations indistinguishable from human care. ## What We’re Looking For * **5+ years of experience** designing, building, and scaling production systems in high-reliability environments. * Strong **full-stack expertise** with Node.js, TypeScript, React, and PostgreSQL, plus solid system design instincts. * High ownership and agency—you thrive in ambiguity and take responsibility for outcomes. * Proven ability to **mentor engineers**, lead cross-functional efforts, and communicate technical trade-offs clearly. You’ll be a great fit if you enjoy owning complex systems end-to-end, solving hard problems under real-world constraints, and working closely with customers and teammates to deliver mission-critical software. ## Interview Process We move quickly and communicate clearly at every stage: * **Intro Chat (30 min, Virtual):** Background, role context, and leadership philosophy. * **Technical Deep Dive (1 hr, Virtual):** System design and architecture with the CTO and a senior engineer. * **Onsite Team Day (Half Day, NYC):** Collaborate on real problems, present a past project, meet the team, and assess mutual fit. Decisions are typically made **within 24 hours** of each stage. ## Apply [Apply on Clarion]() Canonical job page: