Founding Backend Engineer

• Improving response quality, latency, and operational reliability.

This includes:

• Multi-Agent and Workflow Orchestration: Build orchestration systems that coordinate multiple AI agents and external services.
  Designing multi-step AI workflows.
  Agent-to-agent communication.
  Workflow routing and decision engines.
  Human-in-the-loop approvals.
  Retry and recovery mechanisms.
  Background job execution.
  Queue-based processing.
  Event-driven automation pipelines.
• You should enjoy solving real-world orchestration problems where reliability is as important as intelligence. Customer-Specific AI Automation: Every healthcare customer has different workflows, so you will build configurable AI systems that can adapt to each customer's processes without requiring major code rewrites. Examples include referral workflows, appointment coordination, document processing, patient communication, provider-specific automation rules, portal and EHR integrations, custom business logic, a workflow builder, REST APIs, backend microservices, database design, authentication and authorization, third-party integrations, logging and monitoring, performance optimization, cloud deployment.

Responsibilities include:

• Backend Platform Engineering: Design scalable backend systems supporting AI workflows. Building fault-tolerant agent execution systems.
  Improving response quality, latency, and operational reliability.