Applied AI - Senior/ Staff Software Engineer, Lead

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 brand-new team What you have done: - Built and shipped production software end-to-end in fast-moving environments - Worked with AI/ML systems such as LLMs, RAG pipelines, embeddings, or applied NLP - Navigated ambiguity and iterated quickly with tight feedback loops - Designed systems with an eye toward scalability, tradeoffs, and real-world constraints - Collaborated with cross-functional teams to deliver impact - (Bonus) Worked with healthcare data formats like FHIR, HL7, or clinical documentation What gives you an edge: - You’ve shipped AI products—not just prototypes or research demos - You’ve built systems that interface with real users or complex workflows - You’ve operated in early-stage or 0→1 environments with high ownership - You understand reliability, iteration speed, and production safety - You’re motivated by solving real problems for real people, not AI hype Our tech stack: - AI & Modeling - LLMs, RAG pipelines, embeddings - LangChain / LlamaIndex or similar - Python 1. Backend & Services 2. Node.js http://Node.js / TypeScript 3. GraphQL / REST APIs 4. AWS Lambda, AppSync, DynamoDB 1. Data & Infrastructure 2. BigQuery, Elasticsearch / OpenSearch 3. Airflow or similar orchestration 4. Vector stores and retrieval systems 1. Bonus Tools & Domains 2. FHIR, HL7, clinical notes 3. Voice agents / telephony APIs 4. Statsig or internal experimentation tooling What we offer: - Meaningful pre-IPO equity - Medical, dental, and vision plans 100% paid for you and your dependents - Flexible PTO + 10 paid holidays per year - 401(k) with match - 16-week parental leave policy for birthing parent, 8 weeks for all other parents - HSA + FSA contributions - Life insurance, plus short and long-term disability coverage - Free daily lunch in-office - Annual learning stipend The Interview Process - We aim to complete the interview process between 2-3 weeks. It will usually consist of: - Recruiter Screen (30-Minutes) - Technical Assessment (45-Minutes) - Onsite Interview: Systems Design