Applied AI - Senior/ Staff Software Engineer, Lead in San Francisco

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Job DescriptionJob DescriptionAbout 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 LocationWe 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 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 at our company. We do not discriminate on the basis of , , , origin, , , , marital status, veteran status, 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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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.

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