Applied AI - Senior Staff Software Engineer, Lead job at Sprinter Health in San Francisco, CA, Menlo Park, CA
Title: Applied AI - Senior/ Staff Software Engineer, Lead
Location: San Francisco United States
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 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!
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Location: San Francisco United States
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 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!
Apply tot his job
Apply To this Job