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 on-site five days a week, unless otherwise specified.
We are seeking an AI Customer Engineer to operate at the intersection of AI systems, healthcare data, and real-world deployment. In this role, you will be deployed onsite at a customer location, serving as Hippocratic AI’s embedded technical presence. This is not a traditional engineering role. You will act as a builder, operator, and technical consultant, working directly with customers on-site to design and deploy AI systems into live clinical workflows. You will take ambiguous, high-impact problems and turn them into production-grade AI solutions powered by LLMs, voice systems, and interoperable data platforms.
Customer-Facing Problem Solving:
Serve as the technical point of contact for healthcare customers
Translate ambiguous problems into scalable solutions
AI System Design & Deployment:
Build and deploy AI systems, including RAG pipelines and multi-agent workflows
Develop real-time conversational AI systems
Healthcare Data Integration:
Work with HL7 v2, FHIR, REST APIs, and X12
Build pipelines using Python and SQL
End-to-End Ownership:
Own full lifecycle from design to monitoring
Troubleshoot production issues
Cross-Functional Collaboration:
Work with product, AI research, and clinical teams
Must Have:
3+ years in software engineering, AI/ML, or data integration
Strong Python skills
Experience with AI/ML systems in production
Willingness to be deployed onsite at customer locations for extended periods
HL7, FHIR, REST APIs experience
Epic/Cerner experience
LLMs, RAG, prompt engineering
Voice AI exposure
Cloud + DevOps knowledge
Deploy AI into real healthcare environments
Own problems end-to-end
Work directly with customers onsite as an embedded engineer
Impact real patient outcomes
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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