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.
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 Software Engineer, you will join a collaborative team of engineers, applied scientists, and healthcare professionals working on cutting-edge generative AI technologies. Your role will focus on building and enhancing the backend infrastructure that powers scalable, secure, and reliable data processing for AI-driven healthcare solutions.
Responsibilities:
Develop and maintain scalable backend systems to support high-performance AI applications in healthcare.
Collaborate with cross-functional teams, including data scientists and ML engineers, to design and build efficient data pipelines for large-scale healthcare datasets.
Build and manage APIs and microservices that enable smooth data retrieval, processing, and interaction with AI models.
Contribute to the implementation of data security and privacy protocols to protect sensitive patient data.
Monitor and improve backend systems to optimize performance, reliability, and uptime.
Work closely with product managers to understand healthcare requirements and help transform them into technical solutions.
Engage in team discussions and knowledge sharing to promote a collaborative and innovative engineering culture.
Qualifications:
Must-Have:
Bachelor’s degree in Computer Science, Computer Engineering, or a related field (or equivalent practical experience).
1-3 years of experience in backend development using programming languages like Python, Java, or similar.
Basic understanding of cloud platforms (e.g., AWS, GCP, or Azure) and containerization tools like Docker.
Familiarity with database systems and RESTful APIs.
Interest in learning about data privacy and security best practices.
Strong problem-solving skills and a willingness to learn and grow.
Preferred:
Exposure to DevOps practices, including CI/CD pipelines and Kubernetes.
Basic knowledge of AI/ML concepts or experience working with machine learning models.
Familiarity with modern development frameworks and tools (e.g., Flask, Django, or Spring Boot).
Experience working in teams that handle sensitive or regulated data.
We encourage applications from engineers who are eager to develop their skills and contribute to impactful AI solutions in healthcare. Whether you have prior experience in this field or are excited to explore it, we welcome your interest!