About this opportunity
Clarion, Inc. lists this Senior Software Engineer (Fullstack) opportunity in mission, Kansas. Review the employer’s description below for duties, qualifications and application requirements.
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 $5.4M 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.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.