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A stealth healthcare AI startup is seeking a Full-Stack Engineer to develop innovative solutions that optimize revenue for healthcare providers. This role offers a unique opportunity within a small, highly skilled team committed to improving patient care and financial performance through cutting-edge technology.
We’re a stealth-stage healthcare AI startup on a mission to transform how medical practices capture revenue.
At the intersection of clinical documentation, billing, and value-based care, our technology bridges the long-standing gap between patient care and financial performance.
Today, providers lose an estimated 16% of their revenue to denials, under-coding, and compliance issues. We’re changing that — empowering primary care clinics to recover every dollar they’ve earned , while surfacing new revenue opportunities through AI-driven automation .
We are:
️ Backed by seasoned healthcare tech founders and leaders from top US health insurers
️ Live with our first client and preparing for a high-impact pilot launch
Our platform solves the most painful bottlenecks in healthcare operations:
• Real-time AI support at the point of care
• Automated medical coding and billing optimization
• Intelligent workflows for claim follow-up and denial reduction
• Seamless alignment with value-based care models
If you're excited about building mission-critical technology that improves outcomes for both providers and patients , join us. The opportunity to make an impact is massive.
The Role: Full-Stack Engineer
This is a founding team opportunity for someone who wants to take ownership, move fast, and build mission-critical technology from the ground up.
You’ll work directly on products that process clinical and billing data, power AI-driven decision support, and help healthcare providers recover lost revenue — all while shaping the technical foundation of the company.
What You’ll Be Doing:
Build innovative AI-driven solutions for healthcare revenue optimization
Develop and maintain scalable infrastructure for clinical and billing data
Design robust backend services and intuitive frontend interfaces for healthcare users
Create data flows and APIs that enable AI/LLM-powered applications
Collaborate with a small, elite team to deliver new products rapidly
Participate in system architecture decisions, ensuring reliability, scalability, and maintainability
You Should Have:
Strong programming skills in Go and Python
Solid understanding of language fundamentals and design patterns
Experience maintaining and scaling AWS infrastructure
Proficiency with DevOps tooling: Kubernetes, Docker, Terraform, GitHub Actions, Datadog , etc.
Experience building platform products , microservices, and efficient data models
Ability to design and implement scalable, reliable services
Passion for working in fast-paced startup environments with high ownership
Bonus Points For:
Experience with Clean Architecture principles
Built data pipelines for AI/LLMs and machine learning applications
Background in healthcare tech ( EHR, RCM systems, or interoperability standards )
Knowledge of HIPAA compliance and healthcare data security
What We Offer:
Ground-floor opportunity to help shape a high-impact healthcare AI company
Work on technology that has a direct, positive impact on healthcare providers and patients
Small, highly skilled team focused on speed, autonomy, and craftsmanship
Flexible remote work , aligned with Brazil-friendly time zones
Competitive compensation + equity upside
Ready to Build Something That Matters?
If you're passionate about solving real-world problems in healthcare with AI, enjoy working on complex systems end-to-end, and thrive in startup environments — this is your opportunity.
Apply now and join us in transforming how healthcare providers capture revenue and deliver better care.