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ExaCare AI
ExaCare AI
51 – 200 Employees
ConsultingHealthcareLogistics
ExaCare AI develops SaaS software for post-acute care providers, including skilled nursing facilities and home health agencies. Its platform supports referral review, insurance verification, reimbursement workflows, and admissions by summarizing clinical records, identifying clinical and financial risks such as PDPM opportunities, checking coverage eligibility, and providing visibility into occupancy, census trends, and operational performance.
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Staff Software Engineer, Healthcare AI — Hybrid Canada

Lead full-stack product engineering for AI-powered healthcare workflows at ExaCare AI. Build reliable systems that turn referral packets into clinical insights and placement decisions.

CACanadaHybridFull-timeLeadEnglish RequiredFull-stack EngineerSoftware Engineer
AWSCloudPostgresTypeScript

Description

  • Lead product features from workflow discovery and technical design through implementation, verification, production release, and operational readiness.
  • Apply architectural, data modeling, integration, and product-pattern expertise informed by customers, operators, and implementation teams.
  • Build dependable full-stack capabilities for complex healthcare workflows at scale with TypeScript, PostgreSQL, and AWS cloud services.
  • Ensure quality through comprehensive testing, observability, safe deployments, and effective incident response.
  • Develop reusable abstractions, frameworks, and AI-enabled engineering patterns.
  • Partner with product, operations, platform, ML, design, clinical, customer-facing, and engineering teams.
  • Guide technical direction across product areas and contribute to architectural decisions.
  • Strengthen engineering practices to increase delivery speed and product consistency.

Requirements

  • Strong foundations in full-stack software engineering.
  • Proficiency with TypeScript, PostgreSQL, REST APIs, and modern backend architecture.
  • At least 7 years of software engineering experience focused on product engineering, backend systems, or full-stack development.
  • Demonstrated ability to independently own production features from design through launch.
  • Sound judgment about products and workflows.
  • Ability to work independently through ambiguity on high-impact, open-ended problems.
  • Clear communication with product, operations, platform, ML, and engineering stakeholders.
  • Experience delivering applied AI capabilities or working with LLM infrastructure.
  • Experience with healthcare workflows, varied care settings, or regulated environments.
  • Experience integrating with EHR systems or healthcare data standards.
  • Experience building operational tools or product surfaces requiring substantial onboarding and support.
  • Experience creating reusable engineering patterns or frameworks.
  • Bachelor’s degree in Computer Science or a related technical discipline, or equivalent practical experience.

Benefits

  • Competitive salary and equity in a high-growth startup.
  • Flexible paid time off.
  • Medical, dental, and vision coverage.
  • Company off-sites and a strong startup culture.
  • Collaborative team with experience from leading technology, consulting, and financial services organizations.

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