Hippocratic AI

Senior Software Engineer, Research

Hippocratic AI
Apply
11 days ago
Menlo Park, CA, USASenior
H1B sponsor

Responsibilities

  • Architect backend systems that support high-volume healthcare data and LLM processing with 99.9%+ uptime.
  • Implement monitoring and improve backend performance and reliability.
  • Design and maintain multimodal healthcare data pipelines for training and inference using distributed processing.
  • Build metadata, tagging, data ingestion, feature extraction, and retrieval infrastructure.
  • Develop APIs and microservices for AI model interaction and data retrieval.
  • Create reproducible ML workflows spanning data preparation through model deployment.
  • Accelerate the transition of new AI capabilities into production.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, or a related field; a master’s degree is preferred.
  • 4+ years of backend development experience using Python, Golang, or similar languages.
  • Experience building and maintaining multimodal speech, vision, and text data pipelines using Ray, Apache Airflow, or similar tools.
  • Experience with distributed computing frameworks such as Spark or Hadoop.
  • Familiarity with relational databases, RESTful APIs, and cloud infrastructure such as AWS or GCP.
  • Preferred experience includes AI/ML concepts, LLMs, sensitive or regulated data, gRPC, GraphQL, real-time audio, DevOps, CI/CD, deployment, Terraform, build systems, and data science.

Benefits

  • Work from the Menlo Park office five days per week.
  • Opportunity to work on safety-focused healthcare AI and collaborate with healthcare, AI, and research experts.

Tech Stack

Apache AirflowApache HadoopApache SparkAWSGoGoogle Cloud PlatformGraphQLgRPCPythonTerraform

Categories

BackendData Engineering
Hippocratic AI

About Hippocratic AI

201-500 employees

Hippocratic AI builds a safety-focused large language model and AI agents for healthcare workflows, used by health systems for patient outreach, post-discharge follow-up, and chronic-care management. It licenses its platform and tools to providers to automate and scale clinical support tasks while meeting health-system requirements. Founded in 2023 and headquartered in Palo Alto, the company is privately held.

Contact me