- Salary
- $170k – $240k
- Location
- San Francisco, Mountain View, New York, Los Angeles, CA, New York, California
- Workplace
- Remote, Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Visa
- Sponsored
- Source
- RecruiterFlow
Description
Senior Fullstack Engineer (Ambient AI)
Location: Mountain View, CA / San Francisco, CA / Los Angeles, CA (Hybrid, 3 days/week) OR Remote in New York, NY
Company Stage of Funding: Late-stage HealthTech scaleup (Series D, $800M+ raised)
Office Type: Hybrid / Remote (NY)
Salary: $170,000 – $240,000 + Competitive Equity
Visa: Visa sponsorship available (H1B transfers, TN, F1 supported; no net-new H1Bs)
Company Description
Our client is building AI-native healthcare infrastructure designed to simplify clinical workflows and eliminate administrative burden across healthcare systems.
Their platform powers hundreds of care sites, supports over 500,000 clinicians, and processes billions in healthcare transactions annually.
This is an opportunity to join one of the fastest-scaling healthcare AI companies and work on their Ambient AI product — helping clinicians reclaim hours lost to documentation through real-time transcription, clinical note generation, and intelligent workflow automation.
You’ll join a high-growth engineering team solving deeply technical challenges at the intersection of distributed systems, real-time AI processing, and healthcare infrastructure.
What You Will Do
Design and influence scalable full-stack architecture for AI-powered healthcare workflows
Build across the stack using Python, Go, TypeScript, and React
Ship production features for ambient clinical documentation systems
Work on real-time transcription reliability and large-scale note generation workflows
Build integrations with clinical systems and EHR infrastructure
Lead technical planning for high-impact product initiatives
Drive system design decisions balancing scale, reliability, and usability
Partner cross-functionally with product, design, and clinical stakeholders
Work directly with customers to solve product issues and improve workflows
Mentor engineers and raise engineering quality standards
Contribute to deployment, testing, observability, and production excellence
Operate effectively in a fast-moving, ambiguity-heavy startup environment
Ideal Candidate Background
5–10 years of full-stack engineering experience
Experience at fast-growing startup or reputable scale-up environments
Strong backend engineering fundamentals with full-stack ownership capability
Experience shipping customer-facing production systems at scale
Strong proficiency in Python or Go
Strong frontend experience with TypeScript and React
Experience with distributed systems and cloud infrastructure
Hands-on system design experience
Experience collaborating directly with customers and stakeholders
Ability to own initiatives from ideation through production
Preferred / Strong Signals
Experience in regulated industries (healthcare, fintech, insurance)
Experience building note-taking, transcription, or workflow automation products
Experience with real-time systems or streaming architectures
AWS / Docker / Kubernetes experience
Cross-platform product experience
Track record of scaling systems through high-growth phases
Technical leadership or mentorship experience
Strong startup adaptability
Top-tier technical education
Strong Signals
Thrives in ambiguity and high-velocity engineering environments
Strong product ownership mindset
Customer empathy and user-centric engineering approach
Ability to move quickly without sacrificing quality
Comfortable shipping frequently
Bias for action
Strong communication across technical and non-technical teams
Genuine interest in healthcare transformation
Compensation and Benefits
Base salary: $170,000 – $240,000
Competitive equity
Hybrid flexibility (3 days onsite)
Remote option in New York
Visa sponsorship support
Work on one of healthcare AI’s highest-growth products
Clear growth trajectory in a rapidly scaling engineering org
High-impact ownership
Why Join
This is a chance to work on AI products that solve real, daily pain points for clinicians.
You’ll help build ambient clinical intelligence systems that directly improve healthcare delivery while solving genuinely hard engineering problems across real-time AI processing, large-scale infrastructure, and product reliability.
If you want meaningful technical ownership at a company already operating at serious scale — while still moving with startup speed — this is a rare opportunity.
