Senior / Staff Backend Engineer (Ambient AI)

Location: Mountain View, CA / San Francisco, CA / Los Angeles, CA (Hybrid)
New York City, NY (Remote Option Available)

Company Stage of Funding: Series D Healthcare AI + Clinical Infrastructure + Ambient AI Platform

Office Type: Hybrid (3 Days/Week In Office)
Remote Option Available in NYC

Salary: $170,000 – $270,000 Base

Equity: Competitive Equity Package

Bonus: Competitive Total Compensation

Visa: Visa Sponsorship Available (TN, H1B Transfers, F1, Green Card Sponsorship After 6 Months)

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Company Description

Our client is building the operating system for modern healthcare.

The company develops AI-powered infrastructure and clinical software used by healthcare providers, hospitals, and medical organizations across the United States. Their products help clinicians spend less time on administrative work and more time delivering patient care.

Backed by leading investors and valued at over $6B, the company powers more than 500,000 clinicians, supports over 100 million patient interactions, and facilitates more than $10B flowing through its platform.

The Ambient AI team is building one of the company’s fastest-growing products, focused on real-time clinical documentation and AI-powered medical note generation.

The platform powers:

• Ambient AI Clinical Documentation
• Medical Scribe Automation
• Healthcare Workflow Automation
• Provider Copilots
• Revenue Cycle Management
• Clinical Data Infrastructure
• AI-Powered Note Generation
• Real-Time Audio Processing
• Healthcare Integrations
• Enterprise Healthcare Systems

Engineering challenges include:

• Distributed backend systems
• Real-time AI inference infrastructure
• High-scale healthcare applications
• Clinical documentation workflows
• Reliability and availability at scale
• Cloud-native infrastructure
• Healthcare compliance and security
• Large-scale data processing
• AI-powered product development
• Enterprise software architecture

The company operates at the intersection of healthcare, AI, and enterprise software, giving engineers the opportunity to build products that directly impact clinicians and patient outcomes.

The culture values:

• Speed
• Ownership
• Technical Excellence
• Customer Obsession
• Product Thinking
• Ambition
• Accountability
• Execution
• Learning Velocity
• Mission Alignment

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What You Will Do

• Design and evolve backend architecture powering AI-driven healthcare products
• Build scalable distributed systems supporting Ambient AI workflows
• Develop high-performance backend services using Python, Go, FastAPI, Flask, and related technologies
• Lead technical planning and execution for critical platform initiatives
• Design systems capable of operating reliably at large scale
• Build APIs and backend infrastructure supporting clinical workflows
• Drive architectural decisions across multiple products and services
• Improve reliability, scalability, and performance across the platform
• Establish engineering best practices for testing, deployment, and maintainability
• Mentor engineers and elevate technical standards across the team
• Collaborate closely with product, design, clinical, and engineering stakeholders
• Work directly with customers to solve complex technical challenges
• Participate in system design discussions and architecture reviews
• Build cloud-native systems using AWS infrastructure
• Contribute to AI-powered healthcare products used by thousands of clinicians daily
• Drive technical initiatives from ideation through production deployment
• Improve operational excellence and engineering velocity
• Help scale one of the fastest-growing healthcare AI platforms in the industry

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Ideal Candidate Background

• 5–15 years of software engineering experience
• Strong backend engineering experience
• Experience building distributed systems in production
• Experience working at high-growth startups or technology scale-ups
• Strong Python engineering experience
• Experience designing and scaling backend services
• Strong system design and architecture fundamentals
• Experience building cloud-native applications
• AWS infrastructure experience
• Experience with Docker and Kubernetes
• Experience operating systems at meaningful scale
• Strong understanding of performance, reliability, and scalability
• Experience leading complex technical initiatives
• Experience mentoring engineers
• Strong communication and stakeholder management skills
• Experience operating in fast-paced and ambiguous environments
• Ability to drive projects end-to-end
• Customer-facing or stakeholder-facing experience preferred
• Experience in healthcare, fintech, or other regulated industries is highly preferred

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Compensation & Benefits

• Base Salary: $170,000 – $270,000
• Competitive Equity Package
• Visa Sponsorship Available
• Green Card Sponsorship Available
• Hybrid Work Environment
• Remote Flexibility in NYC
• Direct Impact on Healthcare Outcomes
• Opportunity to Build AI-Native Healthcare Products
• Backed by Tier-1 Investors
• Fortune Future 50 Company
• Rapid Career Growth Opportunity
• Large Product Ownership Scope
• Strong Engineering Culture
• Mission-Driven Environment

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Why Join

This is an opportunity to build AI-powered healthcare infrastructure at massive scale.

Rather than working on internal tools or incremental product improvements, you'll help develop systems used by hundreds of thousands of clinicians and millions of patients.

You'll tackle challenging engineering problems spanning distributed systems, AI infrastructure, healthcare workflows, compliance, and platform scalability while helping modernize one of the world's most important industries.

The role offers a rare combination of technical complexity, meaningful impact, startup velocity, and large-scale product ownership.

If you enjoy building distributed systems, leading architecture decisions, mentoring engineers, and shipping products that improve real-world outcomes, this role offers exceptional scope and career upside.