Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.
Why Join Our TeamInnovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.
Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft 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.
Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.
For more information, visit www.HippocraticAI.com.
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 RoleWe're seeking a Agent Deployment Engineer to join our collaborative team of engineers, scientists, and healthcare professionals working on transformative AI solutions. In this role, you'll help develop and maintain our conversation layer using a mix of software and prompting skills to allow our AI agent facilitate autonomous conversations.
What You’ll DoDevelop complex prompts in our SOTA conversation planning layer to enable complex agentic model workflows
Collaborate with Product Managers, Software Engineers and Clinicians to create fully autonomous, clinical conversations.
Write, configure and iterate on prompts to create engaging, patient-oriented conversations
Use advanced prompting techniques to develop and optimize prompts for language models to improve model performance, clinical safety, and patient experience.
Conduct experiments and analyze outcomes of model outputs to refine and iterate on prompt strategies.
Bachelor’s degree in Computer Science, Computer Engineering, or a related field (or equivalent coursework/projects).
2+ years industry experience
Experience with Python
Experience with LLM prompting (chatGPT, Claude, etc) through professional or personal use
Exposure to working with databases and building simple RESTful APIs.
Strong problem-solving mindset and eagerness to learn new technologies.
Experience with personal or academic projects involving backend development.
Basic understanding of AI/ML concepts or a desire to learn about them.
Knowledge of modern web frameworks (e.g., Flask, Django, or Spring Boot).
Awareness of data privacy and security best practices, especially in regulated environments.
Top Skills
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.
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