Integration Engineer (Healthcare AI)

TL;DR

Integration Engineer (Healthcare AI): Building and maintaining healthcare data integrations between clinical systems and an AI platform with an accent on interoperability standards and data pipelines. Focus on designing scalable integration flows, optimizing performance, and collaborating with cross-functional teams to ensure reliable data exchange.

Location: Must be based in the United States. This role requires 20-40% travel.

Company

hirify.global is a generative AI company building the world's first safety-focused, healthcare-only LLM to transform patient outcomes.

What you will do

• 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 QA.
• Monitor and optimize performance across live integrations, identifying and resolving bottlenecks.
• Contribute to reusable components and integration templates that improve delivery efficiency.
• Troubleshoot production issues, lead root-cause analysis, and ensure smooth resolution.

Requirements

• 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).
• Comfortable working with RESTful APIs, JSON, and SQL.
• Excellent communication and collaboration skills.
• Must be able to travel 20-40% of the time.

Nice to have

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

Culture & Benefits

• Work at the forefront of generative AI in healthcare.
• Collaborate with a team of physicians, hospital leaders, and AI pioneers.
• Opportunity to shape integration frameworks and reusable patterns.
• High-impact role in a well-funded, category-creating startup.