Director of Engineering - Product Development

About Us

Hippocratic AI has developed a 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.

Why Join Our Team

• Innovative Mission:
We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.

• Visionary Leadership:
Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.

• Strategic Investors:
We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.

• World-Class Team:
Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.

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We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA, unless explicitly noted otherwise in the job description.

About the Role

As a Director of Engineering at Hippocratic AI, you’ll play a pivotal role in bringing cutting-edge AI research into production and launching transformative healthcare products powered by our generative, voice-based agents.

You’ll work at the intersection of AI research, engineering, and product, leading the design and delivery of next-generation agentic capabilities that make our healthcare agents more intelligent, adaptive, and compliant with real-world clinical workflows.

This is a strategic and hands-on role: you’ll architect scalable systems, define engineering best practices, and build and inspire a world-class team to deliver clinically safe, production-grade systems used by healthcare professionals and patients around the world.

If you love translating frontier AI research into production, thrive in ambiguity, and are energized by building the connective tissue between teams to deliver ambitious outcomes quickly and safely, this role is for you.

What You’ll Do:

Team Building & Leadership

• Recruit, grow, and inspire a world-class AI engineering team focused on agentic AI for healthcare.

• Foster a culture of innovation, accountability, and technical excellence.

• Mentor and coach engineers and managers to achieve high performance and career growth.

Product Development & Delivery

• Lead the design, implementation, and deployment of new agentic features that extend Hippocratic

AI’s healthcare agents (e.g., reasoning loops, contextual memory, adaptive dialogue systems, safety enforcement).

• Partner with Product, Clinical, and Research teams to translate conceptual designs into reliable, production-ready systems.

• Oversee integration of AI models, APIs, and healthcare systems (EHRs, clinical databases, etc.) in a compliant and secure manner.

Technical Strategy & Execution

• Define and communicate the technical roadmap for agentic AI systems in alignment with company goals.

• Establish scalable architectures, coding standards, and operational best practices.

• Collaborate cross-functionally to ensure delivery of safe, performant, and testable systems.

Operational Excellence

• Drive sprint planning, technical reviews, and release processes.

• Ensure uptime, observability, and reliability of deployed systems.

• Manage budgets, staffing, and vendor relationships for engineering operations.

What You Bring

Must Have:

• 10+ years of software engineering experience, including 5+ years in engineering management.

• Proven track record of building and scaling technical teams from the ground up.

• Deep understanding of distributed systems, cloud infrastructure, and modern ML/AI pipelines.

• Experience…