Fullstack Engineer

Recruiting From Scratch•San Francisco, NY

2d•Hybrid

About The Position

The company is building the AI-native operating system for autism care, enabling clinicians to launch, operate, and scale modern healthcare practices while reducing administrative burden through intelligent software. Its platform combines AI-powered clinical workflows, healthcare operations software, financial infrastructure, and enterprise-grade automation to simplify complex healthcare processes including clinical documentation, billing, scheduling, credentialing, payroll, compliance, and patient management. Already serving hundreds of children across dozens of clinics, the company has achieved strong product-market fit, growing rapidly while transforming how autism care is delivered. Backed by experienced founders and leading venture investors, the company recently raised its Series A after reaching significant revenue growth in under a year. As the engineering organization expands, they're investing heavily in platform architecture, AI infrastructure, and production systems that will serve as the long-term foundation of the business. As a Senior Fullstack Engineer, you'll own core platform architecture, AI-native workflows, financial systems, and production infrastructure while working closely with founders to build mission-critical healthcare software from the ground up. This is a rare opportunity to join one of the fastest-growing AI healthcare startups where you'll directly influence platform architecture, AI product strategy, and the future of modern healthcare operations.

Requirements

4–10 years of experience in full-stack software engineering
Experience building and shipping production customer-facing software
Experience working in high-accuracy engineering environments such as fintech, healthcare, insurance, or other operationally complex industries
Experience owning architecture decisions, system design, or major platform initiatives
Experience building product platforms in Series A or later startups strongly preferred
Experience designing systems where correctness, reliability, and data integrity are critical
Startup experience strongly preferred
Demonstrated ownership of high-impact technical initiatives
Strong Python engineering skills (required)
Experience building production full-stack applications
Strong backend architecture and API design fundamentals
Experience with NoSQL databases such as MongoDB or Firebase
Experience designing scalable backend systems supporting complex business workflows
Experience building AI-powered products or LLM-based workflows preferred
Strong understanding of data modeling, state machines, and production system design
Strong debugging, testing, and software engineering best practices
Experience building production financial, healthcare, or operational systems
Strong product engineering mindset with backend emphasis
Bachelor's degree in Computer Science, Software Engineering, or related technical field required
Strong academic background from a respected engineering program preferred
Strong systems thinking
High ownership mentality
Excellent communication skills
Comfortable operating in ambiguity
Self-directed and proactive
Bias toward execution with strong engineering judgment
Startup mentality
Strong attention to detail and correctness
Customer-first product mindset

Nice To Haves

Bootcamp-only backgrounds are not preferred
Stripe
Brex
Grow Therapy
Headway
Modern Health
Abridge
Commure
Healthie
Early-stage HealthTech startups
FinTech infrastructure companies
Enterprise SaaS startups
AI-native software companies
Product engineering organizations

Responsibilities

Architect and build the company's core platform foundation, including domain models, APIs, and production infrastructure
Design scalable backend systems supporting AI-powered healthcare workflows
Build AI-native clinical products including documentation, treatment planning, and administrative automation
Develop financial infrastructure supporting healthcare billing, payments, payroll, and reimbursement workflows
Design state machines and business logic ensuring correctness across complex healthcare operations
Build scalable APIs and backend services powering provider and patient experiences
Develop customer-facing product features across backend and frontend systems
Design AI infrastructure supporting production LLM workflows and automation
Build internal operational tooling improving credentialing, compliance, scheduling, and care coordination
Partner closely with founders, product, and operations teams to translate complex healthcare workflows into software
Improve platform reliability, scalability, security, and production quality
Own technical initiatives from architecture through production deployment