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.
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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Our team values in-person collaboration, with on-site presence expected five days a week in Palo Alto, CA unless otherwise specified.
Build the next generation of voice agents
Work with an interdisciplinary team
Develop highly scalable infrastructure for LLM processing
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.
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.
Must-Have:
Bachelor’s degree in Computer Science, Computer Engineering, or a related field (or equivalent practical experience).
7+ years of experience in backend development using programming languages like Python, C++, Golang, or similar.
Strong problem-solving skills and a willingness to learn and grow.
Familiarity with relational database systems and RESTful APIs.
Basic understanding of cloud infrastructure (e.g. AWS, GCP).
Preferred:
Exposure to AI/ML concepts or experience working with LLMs.
Experience working in teams that handle sensitive or regulated data.
Familiarity with gRPC, graphQL or similar
Exposure to DevOps concepts - CI/CD, deployment, terraform, build systems.
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