Senior Fullstack Engineer -Ambient AI

Lovefreedom Solution•Mountain View, CA

7d•Hybrid

About The Position

Lovefreedom Solution is partnering with a Fortune Future 50 healthcare AI company to identify a high-impact Senior Full-Stack Engineer to help build the next generation of AI-native healthcare infrastructure. Commure is tackling one of the most important and outdated industries in the world: healthcare. Backed by leading investors including General Catalyst, Sequoia, and Y Combinator , valued at $6B+ , and growing rapidly, Commure is building technology that supports clinicians, improves patient care, and modernizes the systems healthcare teams rely on every day. This is not a speculative AI company trying to find a use case. Commure is already operating at meaningful scale, supporting 500,000+ clinicians with more than $10B flowing through its systems . The Ambient product sits at the intersection of real-time audio processing, natural language understanding, clinical documentation, and deep EHR integrations. This is a strong opportunity for an engineer who wants to build hard technical systems, work on products with real-world impact, and help shape engineering culture inside a fast-growing healthcare AI company. Why This Opportunity Stands Out Healthcare touches everyone, and Commure is building in a space where better technology can directly improve the lives of clinicians, patients, and families. The company is solving real infrastructure problems in a highly complex, regulated industry. Engineers are working on genuinely challenging systems involving transcription quality, reliability at scale, EHR integrations, AI-native workflows, distributed systems, and clinical documentation. The Ambient team is lean, fast-moving, and growing. With roughly 20 engineers today and plans to scale, every new hire will have meaningful ownership and visible impact from day one. This is a role for someone who wants more than ticket-based engineering. You will help build systems that are used daily, support healthcare providers, and contribute to technology that can make clinical work more efficient and less burdensome.

Requirements

5–10 years of full-stack engineering experience
Experience at fast-growing, reputable tech startups or scale-ups
Demonstrated ownership, growth, and impact in high-velocity engineering environments
Strong technical fundamentals across Python, Go, TypeScript, and React
Experience designing and building scalable production systems
Strong understanding of distributed systems and system design
Experience with containerization tools such as Docker and Kubernetes
Experience with AWS, cloud infrastructure, or cloud migrations
Ability to operate in ambiguous startup environments
Proven ability to ship quickly while maintaining technical quality
Strong collaboration skills across engineering, product, operations, and customer-facing teams
Ability to drive alignment across cross-functional stakeholders
Genuine excitement for building exceptional products in healthcare

Nice To Haves

Experience in a highly regulated industry such as healthcare technology or fintech
Experience building scribe, note-taking, ambient documentation, or clinical workflow products
Experience with companies such as Abridge, Freed, Granola, or similar AI documentation platforms
Experience with cross-platform deployment, including Flutter
Experience working directly with customers and translating feedback into product improvements
Prior experience in a pre-IPO, late-stage startup, or high-growth scale-up environment
Strong academic, technical, or competitive signals such as top universities, hackathons, elite sports, or founder-level projects

Responsibilities

Build and ship full-stack product features across healthcare AI products
Work across backend systems, frontend applications, APIs, infrastructure, and integrations
Design and scale systems involving clinical documentation, AI workflows, and healthcare data
Build with technologies such as Python, Go, TypeScript, and React
Contribute to distributed systems, containerized environments, and cloud infrastructure
Support system design, reliability, scalability, and performance improvements
Work with Docker, Kubernetes, AWS, and cross-platform deployment environments
Collaborate closely with product, design, operations, clinical stakeholders, and customers
Drive projects from ideation through implementation
Make practical technical decisions in ambiguous, fast-moving environments
Help create better engineering practices, technical standards, and team culture
Build products that directly support clinicians and improve healthcare workflows