About the job
About Sprinter Health
At Sprinter Health, we are dedicated to transforming healthcare access by providing services directly in patients' homes. With nearly 30% of U. S. patients forgoing essential preventive and chronic care due to transportation barriers, we aim to prevent emergency room visits, which cost the healthcare system over $300 billion each year.
Leveraging cutting-edge technology akin to that of leading marketplace and last-mile delivery platforms, we ensure care reaches those who need it the most. Our impact is significant, having served over 2 million patients across 22 states, conducting more than 130,000 in-home visits, and achieving a remarkable 92 NPS. Our dynamic team of healthcare professionals and tech innovators has successfully raised over $125 million from top investors such as Andreessen Horowitz, General Catalyst, GV, and Accel, securing a strong multi-year runway for growth.
About the Role
We are assembling an innovative Automated Intelligence team tasked with integrating AI into every facet of our care model—from generating clinical summaries and predicting patient risks to developing workflow agents and enhancing patient interactions. This role is ideal for an engineer eager to rapidly deploy production-level AI systems, navigate complex healthcare and logistics data, and create tools that significantly improve patient outcomes.
Office Location
Our company operates in a hybrid model with offices located in San Francisco and Menlo Park, allowing for a balance between in-office collaboration and flexible work arrangements.
What You Will Do:
- Develop and implement AI-driven features that enhance patient care, streamline coordination, and optimize clinical workflows.
- Create production systems utilizing LLMs, RAG, embeddings, and multi-agent architectures.
- Launch products including clinical visit summaries, patient risk models, and voice-enabled coordination assistants.
- Design workflow agents to automate scheduling, follow-ups, and operational tasks.
- Collaborate closely with product, clinical operations, and data partners to deliver measurable improvements.
- Contribute to defining the technical vision, tools, and standards for a new team.

