Hippocratic AI

Integration Engineer

Hippocratic AI
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22 days ago
USA (city not specified)Senior
H1B sponsor

Responsibilities

  • Design, build, and maintain healthcare data integrations using Python, HL7 v2, FHIR, RESTful APIs, and SQL.
  • Translate business and technical requirements into scalable, testable integration flows.
  • Coordinate implementation, code review, and quality assurance with offshore engineering teams.
  • Monitor and optimize live integration performance and resolve bottlenecks.
  • Develop reusable integration components, patterns, and templates.
  • Troubleshoot production issues, lead root-cause analysis, and ensure reliable resolution.

Requirements

  • At least 5 years of experience in healthcare integration or interoperability engineering.
  • Strong understanding of HL7 v2, FHIR, and X12 standards.
  • Hands-on Python experience and experience with at least one integration engine: Mirth, Rhapsody, InterSystems IRIS, or Redox.
  • Experience with RESTful APIs, JSON, and SQL.
  • Strong communication, collaboration, ownership, reliability, scalability, and quality focus.
  • Familiarity with EHR APIs such as Epic, Cerner, or AthenaOne is preferred.
  • Knowledge of FHIR bulk data workflows is preferred.
  • Experience with CI/CD, Docker, or cloud-based deployment pipelines is preferred.
  • Background in AI/ML data pipelines or healthcare analytics is preferred.

Benefits

  • Requires 20–40% travel, potentially including overnight or out-of-state trips.
  • Opportunity to work on a safety-focused healthcare AI platform and shape reusable integration frameworks.

Tech Stack

Categories

BackendData Engineering
Hippocratic AI

About Hippocratic AI

201-500 employees

Hippocratic AI builds a safety-focused large language model and AI agents for healthcare workflows, used by health systems for patient outreach, post-discharge follow-up, and chronic-care management. It licenses its platform and tools to providers to automate and scale clinical support tasks while meeting health-system requirements. Founded in 2023 and headquartered in Palo Alto, the company is privately held.

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