Hippocratic AI
Research Software Engineer, Applied Science
Hippocratic AI, Palo Alto, California, United States, 94306
About Our Team
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 Team
Innovative 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: Raised $137 million from top investors including General Catalyst, Andreessen Horowitz, Premji Invest, SV Angel, NVentures (Nvidia Venture Capital), and Greycroft.
Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.
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
Build the next generation of voice agents
Work with an interdisciplinary team
Develop highly scalable infrastructure for LLM processing
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.
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).
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.
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 Team
Innovative 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: Raised $137 million from top investors including General Catalyst, Andreessen Horowitz, Premji Invest, SV Angel, NVentures (Nvidia Venture Capital), and Greycroft.
Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.
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
Build the next generation of voice agents
Work with an interdisciplinary team
Develop highly scalable infrastructure for LLM processing
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.
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).
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.