About Sprinter Health
At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year.
By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date from investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway.
About the Role
We’re building a new Automated Intelligence team to embed AI into every layer of our care model—from clinical summaries and patient risk predictions to workflow agents and patient interactions. This is a 0→1 role for an engineer who wants to ship production AI systems quickly, work across complex healthcare and logistics data, and build tools that directly improve patient outcomes.
Office Location
We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work-life balance and understand that there will be times where flexibility is needed.
What you will do:Build AI-powered features that improve patient care, coordination, and clinical workflowsDevelop production systems using LLMs, RAG, embeddings, and multi-agent architecturesShip products like clinical visit summaries, patient risk models, and voice coordination assistantsDesign workflow agents that automate scheduling, follow-ups, and operational tasksCollaborate with product, clinical ops, and data partners to deliver measurable resultsHelp define the technical direction, tooling, and standards for a brand-new teamWhat you have done:Built and shipped production software end-to-end in fast-moving environmentsWorked with AI/ML systems such as LLMs, RAG pipelines, embeddings, or applied NLPNavigated ambiguity and iterated quickly with tight feedback loopsDesigned systems with an eye toward scalability, tradeoffs, and real-world constraintsCollaborated with cross-functional teams to deliver impact(Bonus) Worked with healthcare data formats like FHIR, HL7, or clinical documentationSprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes.
If you're looking for a career that offers opportunities for growth, continual development, professional challenge and the chance to make a real difference in the lives of people, apply today!
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