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Principal backend engineer - ai in healthcare

Paranaguá
Stealth Healthcare AI Startup
Anunciada dia 10 agosto
Descrição

Who we are

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.


Why this role is perfect for you

This is your opportunity to architect and build the data infrastructure for a revolutionary healthcare AI platform — from the ground up.

You’ll have unprecedented autonomy to shape how we process, analyze, and leverage healthcare data at scale.

This is not just another data engineering role — you’re building the nervous system of a platform that will transform healthcare revenue management.


Responsibilities

* Develop innovative AI-driven solutions for healthcare revenue cycle management
* Build and maintain scalable infrastructure for processing clinical and billing data
* Collaborate with a small, high-caliber team to bring new products to market
* Design and implement data flows for AI and machine learning applications


Required Skills

* Experience with AWS infrastructure maintenance and scaling
* Experience with DevOps tooling such as Kubernetes, Docker, Terraform, Github Actions, Datadog, etc
* Strong programming skills in Go and Python
* Understand the languages core concepts
* Design Patterns applied in the specified languages.
* Experience building platform products
* Promote microservices and efficient data models to optimize system scalability, performance, and maintainability.
* Designs and implements reliable, maintainable, and scalable services in collaboration with teammates. Contributes to system architecture discussions and ensures deployments are stable and meet functional requirements.
* Demonstrated ability to work in a fast-paced startup environment


Desired Skills

* Experience in building products using clean architecture
* Experience with AI data flows, LLMs, and machine learning
* Healthcare technology background, particularly with EHR or RCM systems
* Understanding of HIPAA compliance and healthcare data security
* Experience with healthcare data formats and interoperability standards


What we offer

* Opportunity to work on meaningful technology that improves healthcare delivery
* Small, talented team focused on innovation and rapid growth
* Competitive compensation package
* Flexible work environment


If you're excited about leveraging AI to solve complex healthcare challenges and building technology that makes a real difference for providers and patients, we want to hear from you!

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