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HomeCompaniesSprinter HealthApplied AI - Senior/ Staff Software Engineer, Lead

Applied AI - Senior/ Staff Software Engineer, Lead

Sprinter Health · San Francisco, CA, San Francisco, California · Hybrid · Active · Ashby

Job facts

FieldValue
CompanySprinter Health
TitleApplied AI - Senior/ Staff Software Engineer, Lead
Normalized title-
Department / teamSprinter Health / Sprinter Health, Engineering
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Sprinter Health.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Sprinter Health.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanySprinter Health
Source9501f01e-9aca-46ac-89b6-c06bd18e280d
ATS providerAshby

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! 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.

Full job record

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Org ID2022cafa-983e-4c71-9361-36dd262b412a
Source ID9501f01e-9aca-46ac-89b6-c06bd18e280d
Board ID9501f01e-9aca-46ac-89b6-c06bd18e280d
Providerashby
Provider Job Key80531dc5-903c-40b7-95c8-924292d311c1
TitleApplied AI - Senior/ Staff Software Engineer, Lead
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, CA, San Francisco, California
DepartmentSprinter Health
TeamSprinter Health, Engineering
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/sprinter-health/80531dc5-903c-40b7-95c8-924292d311c1
Apply URLhttps://jobs.ashbyhq.com/sprinter-health/80531dc5-903c-40b7-95c8-924292d311c1/application
First Seen At2026-05-29 06:31:39Z
Last Seen At2026-06-06 09:22:16Z
Last Checked At2026-06-06 09:22:16Z
Last Changed At2026-05-29 06:31:39Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=sprinter-health/date=2026-06-06/2026-06-06T09-21-15-275Z-e0a7c54bd5407d11f6a7b859ea985579e03ba78b768b7062c56ab8c990d0bd54.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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  "publishedAt": null,
  "workplaceType": "Hybrid",
  "employmentType": "FullTime",
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