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 ProcessWe 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.
