at Hippocratic AI
Full TimeHippocratic 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.
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.
For more information, visit www.HippocraticAI.com.
Our team values in-person collaboration, with on-site presence expected five days a week in Palo Alto, CA unless otherwise specified.
About the Role:
As a Principal Software Engineer, you will work alongside a dynamic team of engineers, applied scientists, and healthcare professionals to drive advancements in our generative AI technologies. Your focus will be on building and optimizing the backend infrastructure of our core healthcare AI platform, supporting scalable, secure, and reliable data processing for AI applications in healthcare.
Responsibilities:
Architect, develop, and maintain scalable backend infrastructure to support high-performance healthcare AI applications.
Collaborate with research scientists and ML engineers to build data pipelines that efficiently handle large-scale healthcare datasets.
Develop and manage APIs and microservices for seamless data retrieval, processing, and model interaction.
Implement advanced data security and privacy protocols to ensure robust patient data protection.
Continuously monitor and enhance backend systems to maximize performance, reliability, and uptime.
Work with product managers to translate healthcare needs into technical solutions that enhance patient outcomes.
Mentor junior engineers, providing guidance on technical projects and fostering a culture of collaboration and innovation.
Qualifications:
Must-Have:
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
10+ years of experience in backend development with proficiency in languages like Python, Java, or Scala.
Expertise in vector databases and retrieval systems optimized for high-performance AI/ML applications.
In-depth knowledge of cloud platforms (AWS, GCP, or Azure) and DevOps practices, including Docker, Kubernetes, and CI/CD.
Strong understanding of data security, privacy measures, and data modeling.
Excellent communication skills and experience working collaboratively within cross-functional teams.
Preferred:
Familiarity with cutting-edge LLM tools and frameworks such as Langchain.
Previous experience in healthcare-related technologies or regulated data environments.
Why You’ll Love Working Here: At Hippocratic AI, we’re reshaping healthcare with breakthrough technology. If you’re excited by innovation and eager to impact real-world healthcare challenges, you’ll thrive here.
