Software Engineer, Product

Software Engineer, Product

Remote | San Francisco, CA

0 - 5 Years of Experience

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Who is Recruiting from Scratch:

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.

Software Engineer, Product

Location - Remote (US)

San Francisco, CA Office Optional (Bay Area Preferred)

Compensation - $140,000 – $225,000 Base + Competitive Equity

Visa - No Visa Sponsorship Available

(Must Be Authorized to Work in the US)

Company Stage - Profitable Growth Stage (~$60M+ Raised, Cash-Flow Positive)

Industry - HealthTech, AI, Clinical Documentation, Healthcare Infrastructure, Enterprise SaaS

About the Company

The company is building one of the leading AI-powered clinical documentation platforms, helping healthcare providers automate medical note-taking through ambient AI technology.

Its platform combines real-time speech recognition, large language models, clinical intelligence, EHR integrations, and healthcare workflows to automatically generate billable clinical documentation while significantly reducing physician administrative burden. Today, the platform is trusted by leading healthcare organizations across the United States, with approximately 40% of U.S. cancer patients flowing through its system.

Backed by top-tier venture investors and prominent technology founders, the company has raised over $60M while achieving profitability and nearly a decade of enterprise healthcare adoption. As the engineering team continues to grow, they're investing heavily in AI-powered product development, healthcare infrastructure, and next-generation clinician workflows.

As a Software Engineer, Product, you'll build AI-native product experiences across the full stack while working closely with engineering, product, clinical experts, and design teams to deliver software that directly impacts thousands of healthcare providers every day.

This is a rare opportunity to join a profitable AI healthcare company where you'll directly influence AI-powered healthcare products, clinician workflows, and the future of healthcare technology.

What You'll Do

• Build full-stack product features across backend services, web applications, and mobile experiences

• Develop AI-powered workflows leveraging LLMs for clinical documentation and healthcare automation

• Build scalable backend services using Python, TypeScript, and AWS

• Develop frontend experiences using React and modern web technologies

• Build streaming systems supporting real-time clinician workflows

• Develop integrations with Electronic Health Record (EHR) systems and healthcare infrastructure

• Collaborate closely with Product, Design, Clinical, and GTM teams to deliver customer-facing features

• Design scalable APIs supporting AI-powered healthcare applications

• Leverage AI development tools including Cursor, Claude, and modern AI-assisted engineering workflows

• Contribute across the entire engineering stack including backend, frontend, AI integrations, infrastructure, and mobile

• Improve platform scalability, reliability, and engineering quality

• Own product initiatives from technical design through production deployment

• Ideal Candidate Background

• Experience Requirements

• 0–5 years of full-stack software engineering experience

• Experience building and shipping production customer-facing software

• Experience building AI-powered or LLM-enabled product features

• Experience working across frontend, backend, and cloud infrastructure

• Experience building products in startup or high-growth environments preferred

• Demonstrated evidence of career growth, promotions, or increasing ownership

• Experience collaborating closely with product and cross-functional teams

• Demonstrated ownership of end-to-end product features

• Technical Requirements

• Strong TypeScript and React engineering skills

• Strong Python engineering skills

• Experience building production applications on AWS

• Experience building full-stack web applications

• Experience integrating AI or LLM-powered product features

• Experience using AI development tools such as Cursor, Claude Code, or similar

• Experience building scalable backend APIs and distributed services

• Healthcare, EHR integration, or mobile application experience preferred

• Strong debugging, testing, and software engineering fundamentals

• Strong product engineering mindset with full-stack ownership

Education

• Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or another STEM field required

• Strong academic background from a respected STEM program preferred

• Soft Skills

• Strong communication skills

• High ownership mentality

• Excellent cross-functional collaboration

• Comfortable operating in ambiguity

• Self-directed and proactive

• Bias toward execution

• Generalist engineering mindset

• Strong product thinking

• Customer-first engineering mindset

• Compensation & Benefits

• Base Salary: $140,000 – $225,000

• Competitive Equity Package

• Remote-First Work Environment

• Direct collaboration with engineering leadership

• Significant ownership over AI-powered product development

• Opportunity to build foundational healthcare AI products

• High-impact engineering role

• Exposure to cutting-edge LLM and AI technologies

• Rapid career growth opportunities

• Collaborative engineering culture

• Flexible Remote Work

• Why Join

• This is an opportunity to build AI-powered healthcare products used by thousands of clinicians every day.

• You'll develop full-stack AI applications, real-time healthcare workflows, and intelligent clinical documentation systems while collaborating closely with engineering, product, clinical experts, and design teams solving meaningful healthcare problems at scale.

• As a Product Engineer, you'll have significant ownership over customer-facing AI experiences while helping define the future of clinical documentation and healthcare automation.

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