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.
Why Join Our TeamReinvent 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.
About the RoleWe are seeking an Forward Deployment 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.
What You'll Do: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
Location:
This is an onsite role based in Akron, OH, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Palo Alto, CA) for strategic planning and team sessions.
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
Nice-to-Have:
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.
Skills Required
- 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
What We Do
Hippocratic AI’s mission is to develop the first safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. The company was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Microsoft, Meta and NVIDIA. Hippocratic AI has received a total of $137 million in funding and is backed by leading investors, including General Catalyst, Andreessen Horowitz, Premji Invest, SV Angel, NVentures (Nvidia Venture Capital), and Greycroft. For more information on Hippocratic AI: www.HippocraticAI.com.






