Hippocratic AI

6 open remote positions

Hippocratic AI is building the world's first healthcare-only, safety-focused large language model platform to transform patient outcomes. The company is backed by leading investors and co-founded by a team of physicians and AI pioneers, with over $400 million in funding.

Open Positions

  • Own use case deployments end-to-end from contract signature to go-live, driving accountability to timeline and quality.
  • Build Implementation Charters, configure platform settings, and coordinate with health system IT teams for seamless integration.
  • Define and refine the standard onboarding process for providers, creating reusable playbooks for scalable deployments.

  • Own end-to-end deployment of health plan use cases from contract to go-live, driving accountability to timeline and quality.
  • Build Implementation Charters, playbooks, and reusable templates to ensure consistency and scalability.
  • Configure platform settings including dialer setup, agent configuration, and data integration in coordination with health plan IT teams.

  • Design and implement RAG pipelines that ground conversational AI responses in customer clinical data, ensuring accuracy and safety in healthcare workflows.
  • Build tool-calling and MCP architectures enabling AI agents to interact securely with EHRs, data warehouses, and operational tools.
  • Execute end-to-end deployments including infrastructure setup, integration testing, and production monitoring to ensure reliable go-lives.

  • Partner with clinical leaders to map workflows, identify AI opportunities, and design integration architectures with EHR systems like Epic and Cerner.
  • Architect, customize, and deploy modular AI agents for real patient workflows, managing the full deployment lifecycle from design to production.
  • Build repeatable tooling and playbooks to standardize deployments, reducing time-to-launch and scaling implementation across health systems.

  • Design and implement AI solutions using advanced LLM techniques like RAG, tool calling, and LLM-as-judge for healthcare challenges.
  • Build production Python code with LangChain and LangSmith to create reliable AI systems for customer environments.
  • Manage secure deployments, monitor systems, respond to incidents, and drive operational improvements for AI agents.