Full-Stack Engineer

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 drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care.

We’re building the communication infrastructure that modern healthcare desperately needs. Our AI agents don’t just answer calls; they complete entire workflows end‑to‑end, giving providers back their time and ensuring patients never go unheard. We’ve already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.

Founded by a Stanford/Harvard‑trained physician who was on the founding team of Two Chairs and Ophelia, and an ex‑Amazon Alexa engineer who led AI/ML teams at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication.

We’ve raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We’re an in‑person team based in New York, moving fast to ensure no patient call goes unanswered.

• Early‑stage with strong market validation
  :
  We have dozens of paying customers with rapidly growing revenue and strong market signals, while offering the high‑impact environment of an early‑stage startup.
• Solving a massive healthcare challenge
  :
  We’re addressing a critical problem in healthcare communication that affects millions of patients and providers daily, with technology that can truly transform the patient experience.
• Technical founding team
  :
  You’ll work directly with experienced founders who deeply understand both healthcare operations and technical development, enabling faster decision‑making and better product outcomes.
• Cutting‑Edge Tech Frontier
  :
  You’ll harness the latest generative AI models—LLMs, voice synthesis, and real‑time transcription to craft conversational agents that transform healthcare communication, while driving innovation to push these technologies beyond their current limits.
• In‑person collaboration advantage
  :
  We’ve built in‑person since day one and maintain this as a strategic advantage—we move faster, build stronger bonds, and create a cohesive culture.

• Embed with customer teams to deploy and optimize AI agents in live healthcare environments.
• Collaborate with engineering and product teams to customize solutions based on client feedback.
• Troubleshoot and iterate on healthcare integrations to ensure seamless performance.
• Drive customer success through onsite training, support, and relationship management.
• Contribute to product roadmap by identifying real‑world challenges faced by customers

• Technical excellence
  : 3+ years of engineering experience, with a proven track record of shipping production systems.
• Healthcare systems experience
  :
  Familiarity with healthcare workflows, EHR integrations, or regulated environments (HIPAA compliance is a plus).
• Full‑stack engineering skills
  :
  Deep expertise in our tech stack (Node.js, Type Script, React, Postgre
  
  SQL), with the ability to build reliable integrations and debug complex systems.
• High agency and ownership
  :
  Comfortable in ambiguous situations, making independent decisions, and taking full responsibility for customer success.

• You build with intensity and excellence
  —shipping solid code fast, tackling tough problems from start to finish, and holding steady under pressure.
• You take full ownership of your work, acting with high agency in unclear, shifting situations.
• You bring technical passion and a team spirit
  —driven to solve hard challenges and lifted by working closely with customers and teammates.

• Generative AI at Scale
  :
  Deploy at‑scale production systems using generative AI models, tackling safety, alignment, and real‑time monitoring.
• AI for Healthcare Conversations
  :
  Build voice agents that understand medical terminology, navigate complex clinical workflows, and make real‑time decisions with accuracy comparable to trained medical staff.
• R…