About the Role
Hippocratic AI is looking for an AI Integration Engineer to help bridge healthcare data systems with their 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. Hippocratic AI is the leading generative AI company in healthcare, with the only system that can have safe, autonomous, clinical conversations with patients. They have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy. Joining the team means reinventing healthcare with AI that puts safety first, building the world’s first healthcare‑only, safety‑focused LLM designed to transform patient outcomes globally. The company 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. They recently raised a $126M Series C at a $3.5B valuation, bringing total funding to $404M, backed by leading healthcare and AI investors.
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 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 across technical and non-technical teams.
- Strong ownership mindset with attention to reliability, scalability, and quality.
Qualifications
- 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.
Benefits
Reinvent healthcare with AI that puts safety first. Work with the people shaping the future. Backed by the world’s leading healthcare and AI investors. Build alongside the best in healthcare and AI.