Sprinter Health
Healthcare
AppliedAI-Senior/StaffSoftwareEngineer,Lead
Neural analysis suggests this role is
optimal for Senior candidates.
“Applied AI - Senior/ Staff Software Engineer, Lead at Sprinter Health. Skills: Applied AI, LLMs, RAG pipelines, Embeddings. Build AI-powered features. Develop production systems”
What You'll Achieve.
Improve patient care; Improve coordination; Improve clinical workflows; Deliver measurable results
Industry & Context.
Risk predictions; Workflow agents
What They're Looking For.
Must Have
Built and shipped production software, Worked with AI/ML systems, Navigated ambiguity and iterated quickly, Designed systems with scalability, Collaborated with cross-functional teams
Nice to Have
Shipped AI products, Built systems interfacing with users, Operated in early-stage environments, Understood reliability, iteration speed, Worked with healthcare data formats
What You'll Do.
Build AI-powered features
Develop production systems
Design workflow agents
Automate operational tasks
Collaborate with product
Collaborate with clinical ops
Collaborate with data partners
Define technical direction
How You'll Work.
Team & Collaboration
Cross-functional teams; Product; Clinical ops; Data partners
Full Job Description
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 workflows - Develop production systems using LLMs, RAG, embeddings, and multi-agent architectures - Ship products like clinical visit summaries, patient risk models, and voice coordination assistants - Design workflow agents that automate scheduling, follow-ups, and operational tasks - Collaborate with product, clinical ops, and data partners to deliver measurable results - Help define the technical direction, tooling, and standards for a
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