Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare to dramatically improve healthcare accessibility and outcomes.
Requirements
- 2-5+ years of experience in backend development using programming languages like Python, Golang, or similar.
- Experience building and maintaining multi-modal data pipelines (speech, vision, and text) using Ray or Apache Airflow for distributed processing and model experimentation.
- Distributed computing with Spark, Hadoop, or similar.
- Familiarity with relational database systems and RESTful APIs.
- Basic understanding of cloud infrastructure (e.g. AWS, GCP).
- Exposure to AI/ML concepts or experience working with LLMs.
- Familiarity with gRPC, graphQL or similar .
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.
- Develop and optimize backend infrastructure supporting data ingestion, feature extraction, and tagging workflows.
- Implement tag management and metadata systems to streamline dataset organization and retrieval.
Other
- 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.
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field. (Master's is preferred)
- Experience working in teams that handle sensitive or regulated data.
- Experience with real-time audio.
- Exposure to DevOps concepts - CI/CD, deployment, terraform, build systems.
