Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.
Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.
Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.
Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.
Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.
Location Requirement
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week, unless otherwise specified.
We're looking for an AI Integration Engineer to help bridge healthcare data systems with our clinical AI platform. You'll work at the intersection of healthcare interoperability, system design, and data engineering — connecting EHRs, APIs, and analytics pipelines that make our AI models work at scale.
In this role, you'll collaborate with delivery leads, product managers, and customer engineers to design and build reliable integrations using modern interoperability standards. Most of your work will involve Python-based data transformation and interface development, integrating with HL7 v2, FHIR, and RESTful APIs. You'll also coordinate with offshore engineers to deliver high-quality solutions on time.
You'll have the opportunity to shape our integration framework, define reusable patterns, and improve performance and reliability across the platform.
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.
Must-Have:
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 across technical and non-technical teams.
Strong ownership mindset with attention to reliability, scalability, and quality
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.
Join us and help build the future of safe, life-changing AI in healthcare. There’s never been a more exciting moment to make an impact.
Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.
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