Forward Deployment Engineer (York, PA)

Department: R&D

Location: York, PA, Philadelphia, PA, National Capital Region (DC, Maryland, Virginia), Baltimore, MD

Employment Type: FullTime

About Us

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 Team

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.

About the Role

We 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 York, PA, 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.

What You Bring

Must Have:

• BS in a technical field such as CS, Data Science, Mechanical Engineering, or BS in a non-technical field with formal education in computer science.

• 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

What Makes This Role Unique:

• 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.