Hippocratic AI is looking to solve the problem of improving healthcare accessibility and outcomes by developing a safety-focused Large Language Model (LLM) for healthcare.
Requirements
- 7+ years of experience in backend development with proficiency in languages like Python, Java, or Go.
- Strong understanding of SaaS, and cloud orchestration software. (Control Plane)
- In-depth knowledge of cloud platforms (AWS, GCP, or Azure) including Docker, Kubernetes, CI/CD and cloud networking.
- Strong understanding of data security, privacy measures, and data modeling.
- Familiarity with cutting-edge LLM tools and frameworks such as Langchain.
- Previous experience in healthcare-related technologies or regulated data environments.
- Expertise in vector databases and retrieval systems optimized for high-performance AI/ML applications.
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.
Other
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
- Excellent communication skills and experience working collaboratively within cross-functional teams.
- Ability to work in-person five days a week in Palo Alto, CA
- Must be able to work collaboratively within cross-functional teams
- Must have excellent communication skills
