Forward Deployed 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. Why Join Us? Early-stage impact with proven traction : Dozens of paying customers, rapidly growing revenue, and strong market signals—all in the high-impact environment of an early-stage startup. Tackling a massive healthcare challenge : Address a critical problem in communication that affects millions of patients and providers daily, using technology that truly transforms the patient experience. Technical founding team : Collaborate directly with experienced founders who understand healthcare operations and technical development, enabling faster decisions and better outcomes. Cutting-edge tech frontier : Harness the latest generative AI models—LLMs, voice synthesis, and real-time transcription—to build conversational agents that push healthcare innovation beyond current limits. In-person collaboration advantage : We've prioritized in-person work from day one for faster progress, stronger team bonds, and a cohesive culture. Responsibilities 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 Requirements Technical excellence with customer focus : 3+ years of engineering experience, with a proven track record of shipping production systems while working directly with customers. Healthcare systems experience : Familiarity with healthcare workflows, EHR integrations, or regulated environments (HIPAA compliance is a plus). Full-stack engineering skills : Proficiency in our tech stack (Node.js, TypeScript, React, PostgreSQL), with the ability to build reliable integrations and debug complex systems. Travel flexibility : Willingness to travel to customer sites 15-25% of the time for onsite deployments and relationship building. High agency and ownership : Comfortable in ambiguous situations, making independent decisions, and taking full responsibility for customer success. Interesting Technical Challenges Healthcare-specific AI tuning : Configure voice agents to handle medical terminology, clinical context, and patient communication with empathy and accuracy. Complex workflow orchestration : Map and automate multi-step processes spanning scheduling, insurance verification, prescription management, and clinical documentation. Real-time system reliability : Maintain sub-second response times and 99.9% uptime for mission-critical healthcare communications. Secure, compliant integrations : Build robust connections with legacy systems while ensuring HIPAA compliance and protecting sensitive patient data. Scale personalization : Deploy AI agents that adapt to each organization's unique protocols, terminology, and style while maintaining consistent quality. What we offer Direct mentorship: Work closely with our founding team and experienced engineering leaders who will invest in your professional development Meaningful equity: Early employee stock options with significant ownership potential Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunches Team culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC team Impact at scale: Your work directly affects healthcare access for millions—every provider you bring onboard helps hundreds of patients get the care they need Interview Process At each stage, we decide within 24 hours and update you shortly after: First Chat (30 min) [Virtual] : Discuss your relevant experience and technical strengths. System Design Screen (1 hr) [Virtual] : Exercise focused on designing LLM-based applications. Applied Coding Exercise (1 hr) [Virtual] : Hands-on challenge for building and optimizing AI agents in healthcare. Onsite (Half-day) [In-Person] : Visit our New York office to meet the team, explore our platform, and solve technical problems collaboratively. If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you. #J-18808-Ljbffr Clarion