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 PROCESS
We 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.
