About The Position

The Senior Software Engineer builds the AI and automation systems that power Leap’s clinical and business operations. You will own large surface areas across product, data, infrastructure, and automation, helping scale the company’s operational platform as the business grows. This role partners closely with Clinical Operations, Business Operations, and company leadership to identify high-value automation opportunities and ship systems that improve care delivery and internal efficiency. Engineers here have real input into what we build, not just how. This position reports to the Engineering Lead.

Requirements

  • 1+ years of experience building AI systems in production (LLM integrations, agents, AI-powered workflows)
  • TypeScript-native, full-stack generalist comfortable across frontend, backend, data, and infrastructure
  • Track record of shipping fast with high quality - your code, UI, and documentation hold up without a designer or QA team
  • Have been an early employee, a solo tech lead, or a founder - you know how to work without a detailed roadmap
  • Use AI heavily in your own development workflow

Nice To Haves

  • Healthcare or HIPAA experience, data pipelines (BigQuery, ETL), or CRM integrations (Salesforce, HubSpot)

Responsibilities

  • Build LLM agents and automation pipelines that replace manual operational workflows
  • Design and ship AI-driven care orchestration systems that coordinate treatment journeys across patients, providers, pharmacies, and internal teams
  • Identify high-value automation opportunities by working directly with clinical and business operations teams
  • Own and ship both internal and external products used by clinical teams, growth teams, partners, and customers
  • Talk to users (often internal teams), instrument what you ship, and use the data to decide what to build next
  • Build and maintain shared services, identity/auth, and HIPAA-compliant data architecture
  • Ship integrations across CRM and external healthcare systems
  • Design PHI-safe LLM pipelines, agent orchestration frameworks, evaluation systems, and MCP integrations
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