iCareManager
iCareManager
iCareManager develops a cloud-based electronic health record and care-management platform for human services and long-term care providers. Its configurable system brings clinical and administrative work into one place, including electronic medication administration, e-prescribing, medication management, person-centered care plans, incident reporting, staff training, time and attendance, billing, and integrations. The platform serves organizations such as providers for people with intellectual and developmental disabilities, assisted living and residential programs, case management agencies, and correctional health teams. It offers mobile access, open API integrations, security and compliance features, and AI-powered analytics for reviewing care operations and identifying errors.

Senior AI Engineer, Healthcare Documentation

Lead development of emrgen.ai, iCareManager’s AI clinical documentation platform. Build and evaluate safe healthcare AI for U.S. providers and Medicaid workflows.

Apraksts

  • Take over the emrgen.ai codebase, cloud environment, and AI systems from the external vendor.
  • Complete the handover with thorough documentation, secure access, and shared ownership that avoids a single point of failure.
  • Review the architecture, security, data practices, and model behavior.
  • Write a roadmap identifying what to retain, repair, or rebuild.
  • Own the documentation workflow from clinician input through a structured note reviewed and signed by a clinician.
  • Evaluate AI quality and track accuracy, unsupported content, and how often clinicians edit outputs.
  • Add safeguards against unsupported clinical claims and require clinician approval before notes enter the record.
  • Apply access controls, audit logging, and policies for data shared with external model providers.
  • Integrate emrgen.ai with iCareManager and state Medicaid billing rules to support billable services through documentation.
  • Set up release processes, monitoring, and on-call coverage.
  • Coach engineers on the Pakistan team and contribute to hiring.
  • Collaborate directly with the Chief Product Officer and engineering team in Pakistan.

Prasības

  • At least 8 years of professional software engineering experience, including technical leadership.
  • At least 3 years delivering AI features to production.
  • Built or substantially contributed to an EHR or EMR for U.S. healthcare customers while based in Pakistan; be prepared to describe the system and your contribution.
  • Practical experience with large language models, including prompt design, retrieval, evaluation, and managing cost and latency.
  • Speech-to-text experience is a strong advantage.
  • Experience taking over a system built by others and making it maintainable.
  • Working knowledge of HIPAA, audit trails, and handling protected health information in AI pipelines.
  • Understanding of clinical documentation workflows and the factors that build clinician trust.
  • Strong written English for customer-facing documentation.
  • Availability to overlap with U.S. working hours.
  • Preferred: experience in IDD, behavioral health, or Medicaid billing.
  • Preferred: familiarity with HL7 or FHIR.
  • Preferred: experience supporting a SOC 2 audit.
  • Preferred: machine learning operations experience, such as model versioning and monitoring.
  • Employment offers require a background check, HIPAA training, and a signed confidentiality agreement.

Priekšrocības

  • Work directly with the founders and Chief Product Officer and make technical decisions.
  • Discuss compensation and benefits during the initial recruiter conversation.
  • Build AI products used by real customers.
  • Mentor engineers and take part in hiring.

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