The Role
The Lead Software Engineer will build AI-integrated systems for healthcare delivery, focusing on clinical summarization, patient risk prediction, and AI-powered coordination within a fast-paced team environment.
Summary Generated by Built In
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
- Backend & Services
- Node.js / TypeScript
- GraphQL / REST APIs
- AWS Lambda, AppSync, DynamoDB
- Data & Infrastructure
- BigQuery, Elasticsearch / OpenSearch
- Airflow or similar orchestration
- Vector stores and retrieval systems
- Bonus Tools & Domains
- FHIR, HL7, clinical notes
- Voice agents / telephony APIs
- 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 - AI Focused + Behavioral Interview + Lunch with the Team (3-hours)
- References
Sprinter 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!
Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers.
If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com.
Top Skills
Elasticsearch
JavaScript
Langchain
Langgraph
Pgvector
Pinecone
Python
Typescript
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The Company
What We Do
At Sprinter Health, we're focused on dramatically expanding access to healthcare by reimagining the patient experience—delivered at home and powered by technology for scale. We’re a boots-on-the-ground clinician network for the telehealth age, bringing routine blood draws, labs, and vitals checks into people's busy lives.
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