Senior/ Staff Software Engineer, Sprinter Health
Applied Artificial Intelligence Lead
$205-265k
+ Equity
Offers Relocation assistance
3 days a week in office
On demand, at-home health tests
Open for applications
On demand, at-home health tests
101-200 employees
Open for applications
$205-265k
+ Equity
Offers Relocation assistance
3 days a week in office
101-200 employees
Company mission
To dramatically expand and untether access to healthcare by reimagining the patient experience—delivered at home and powered by technology for scale.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
- 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
Application 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
Our take
Sprinter Health offers on-demand health checks and lab draws by sending nurses and phlebotomists (employed by Sprinter itself) into the home. Amongst its services are blood draws and urine samples, mobile imaging and vitals checks, as well as assistance with telehealth consultations.
The rise in remote, digital health solutions is helping to bring greater access to care, but it’s also created a need for last-mile, in-person services. Indeed, while the last year or so has actually seen a marked drop in investment into digital health, home-based care providers are still going strongly.
There’s no doubt that the Covid-19 pandemic had a lot to do with this, but it appears that the demand for in-home services is here to stay. If anything, they’re something of a throwback to decades gone by when house-calls were a regular occurrence.
Despite only emerging from stealth in late 2021, Sprinter is very well funded, and has been quickly building up its headcount in California, with a long term focus on national expansion.
Steph
Company Specialist at Welcome to the Jungle
Insights
36% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
May 2025
$55m
SERIES B
Oct 2021
$33m
SERIES A
Total funding: $92.6m
Company benefits
- Free lunch everyday and fully-stocked microkitchens and coffee/tea bar
- Team offsites, game hours, tech talks, and design sprints
- Health insurance benefits (PPO / HMO / HSA, 100% of family premiums paid)
- Dental / vision / wellness benefits
- 401k matching
- Unlimited PTO
- Flexible work-from-home policy for work/life balance (4 days in-office, accommodation for occasional WFH days)
- Relocation assistance
- Generous parental leave (4 months for the birthing parent, 3 months for a partner, 100% paid)
Company HQ
The Castro, San Francisco, CA
Leadership
Max Cohen
(Co-Founder & CEO)Worked at Google from 2011 to 2014 as a Product Manager, before joining Oculus VR as VP of Mobile, a few months prior to Facebook's acquisition of the company. Continued at Oculus VR until 2019 as Head of Mobile, Head of Oculus Product for Mobile and Platform, and Head of AR/VR Media Product.
Cameron Behar
(Co-Founder & CTO)Like Sprinter Co-founder Max Cohen, previously worked for Google and Facebook. Worked as a Software Engineer and Tech Leads across a number of verticals at Google. Worked at Oculus after Facebook's acquisition as a Tech Lead Manager and Engineering Manager.
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