What You'll Own- Core backend systems: Design, build, and own the services, data models, and business logic powering Clarion's AI agents and healthcare workflows.
- Workflow orchestration: Build infrastructure for multi-step, asynchronous workflows-including agentic AI workflows with conditional logic, retries, and graceful failure handling.
- Healthcare integrations: Own high-stakes integrations with EHRs and legacy healthcare platforms via APIs and RPA.
- Platform foundations: Create internal abstractions and tooling that allow the team to deploy and customize AI assistants for new customers quickly and reliably.
- Security and compliance: Implement and maintain backend authentication, authorization, and HIPAA-compliant architecture required for enterprise healthcare.
Interesting Technical Challenges- Generative AI at Scale: Design and operate production systems using LLMs with real-time monitoring, safety controls, and enterprise reliability.
- Agentic workflows: Architect backend systems that coordinate AI agents across complex healthcare workflows with strong guarantees.
- Enterprise reliability: Build systems supporting thousands of concurrent patient interactions with high uptime and fast incident detection.
- Fragmented healthcare systems: Design resilient abstractions across modern APIs and legacy EHRs while maintaining security and compliance.
What We're Looking For- 5+ years of experience designing, building, and scaling backend systems in high-reliability production environments.
- Strong backend expertise across APIs, relational databases, async workflows, and distributed systems.
- High ownership and agency-you thrive in ambiguity and take responsibility for system outcomes.
- Ability to communicate clearly, collaborate cross-functionally, and surface risks early.
- Bonus: experience with security, auth, or regulated environments (HIPAA familiarity is a plus).
You'll be a great fit if you enjoy owning critical backend systems end-to-end, solving complex problems under real-world constraints, and building infrastructure that directly impacts patient care.
Interview ProcessWe move quickly and communicate clearly at every stage:
- Intro Chat (30 min, Virtual): Background, role context, and mutual fit.
- Technical Deep Dive (1 hr, Virtual): Backend systems 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.
