Hippocratic AI is looking to solve the problem of providing safe, autonomous, clinical conversations with patients using generative AI in healthcare. The company aims to reinvent healthcare with AI that prioritizes safety and transform patient outcomes at a global scale.
Requirements
- Deep expertise in Python, Go, or similar backend languages.
- Familiarity with SaaS control planes, relational databases, and RESTful APIs.
- Strong understanding of cloud infrastructure (AWS, GCP, Kubernetes, S3).
- Proven ability to architect scalable systems and deliver high-quality, production-grade code.
- Experience Building agentic frameworks or orchestration platforms for LLM-based agents
- Designing/deploying conversational AI backends
- Developing production-grade LLM applications or autonomous agents
Responsibilities
- Architect and build scalable backend systems to support high-performance AI and real-time healthcare applications.
- Lead the design of large-scale data pipelines and backend workflows supporting ML and data teams.
- Own and evolve core APIs, microservices, and orchestration layers that interface with LLMs and agentic AI systems.
- Establish and enforce world-class security, privacy, and compliance standards for healthcare data.
- Drive major reliability, observability, and performance improvements across the backend stack.
- Partner with product and clinical leaders to translate complex workflows into robust backend architectures.
- Contribute to long-range platform and infrastructure strategy for AI-driven healthcare systems.
Other
- This role is expected to be in our Palo Alto office five days a week unless otherwise specified.
- Exceptional communication and the ability to drive technical direction across teams.
- Mentor engineers across levels and elevate engineering standards.
