Senior/Staff Backend Engineer (Ambient AI)

Recruiting From Scratch•San Francisco, CA

1d•Hybrid

About The Position

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

Requirements

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

Nice To Haves

Customer-facing or stakeholder-facing experience preferred
Experience in healthcare, fintech, or other regulated industries is highly preferred

Responsibilities

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