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Hippocratic AI

Licenses safety-focused healthcare LLMs to institutions

Integration Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 5 years of experience in healthcare integration or interoperability engineering.
  • Strong understanding of HL7 v2, FHIR, and X12 standards.
  • Hands-on experience with Python and at least one integration engine: Mirth, Rhapsody, InterSystems IRIS, or Redox.
  • Comfort working with RESTful APIs, JSON, and SQL.
  • Ability to collaborate across technical and non-technical teams.
  • Ownership mindset and attention to reliability, scalability, and quality.

Responsibilities

  • Design, build, and maintain healthcare data integrations using Python, HL7 v2, FHIR, REST APIs, and SQL.
  • Collaborate with product and delivery teams to translate requirements into scalable, testable integration flows.
  • Coordinate with offshore teams on implementation, review, and quality assurance.
  • Monitor and optimize performance across live integrations, identifying and resolving bottlenecks.
  • Contribute reusable components and integration templates to improve delivery efficiency.
  • Troubleshoot production issues, lead root-cause analysis, and ensure smooth resolution.
  • Travel 20–40% of the time, potentially including overnight or out-of-state trips.

Desired Qualifications

  • Familiarity with EHR APIs such as Epic, Cerner, AthenaOne, or similar.
  • Knowledge of FHIR bulk data workflows.
  • Experience with CI/CD, containerization such as Docker, or cloud-based deployment pipelines.
  • Background in AI/ML data pipelines or healthcare analytics.

About the Company

Hippocratic AI

Licenses safety-focused healthcare LLMs to institutions

Hippocratic AI builds specialized language models for healthcare that hospitals and clinics license to support non-clinical tasks and improve patient care and operations. The models are trained on evidence-based medical content and refined with a Reinforcement Learning with Human Feedback process from healthcare professionals to ensure safety and reliability. It differentiates itself by prioritizing safety, equity, and bedside-appropriate interactions, with validation on healthcare exams to ensure real-world applicability. Its goal is to improve healthcare access, equity, and outcomes by providing safe, trustworthy AI tools for clinicians and patients.

Company size
201-500
Company stage
Series C
Total funding
$387M
Headquarters
Palo Alto, CA
Founded
2022

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