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 launchOur 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 modelsIf 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.What you’ll be doing (Hands-on — builder mindset!)Data architecture leadership - Design and build scalable data infrastructure for massive clinical and billing datasets - Architect real-time pipelines for AI-driven healthcare applications - Define data governance frameworks, ensuring HIPAA compliance and securityAI/ML infrastructure - Build and optimize data flows for LLMs and machine learning applications - Develop feature pipelines for healthcare-specific AI models - Support real-time AI inference at the point of carePlatform development - Create APIs and data services that integrate with EHRs and billing platforms - Build observability and monitoring for complex data workflows - Implement disaster recovery and backup strategies for mission-critical healthcare dataWhat we’re looking for - 10+ years building production-grade data systems at scale - Expert in Python and SQL (Go is a plus) - Deep experience with AWS (Redshift, RDS, EMR, etc.) - Strong skills with Docker, Kubernetes, and IaC - Proven experience with streaming data, ETL/ELT, and workflow orchestration - Built pipelines for ML/AI applications, including vector databases and LLM-related infrastructureBonus points if you have - Experience in healthcare tech (EHRs, RCM) - Understanding of FHIR, HL7, HIPAA, and healthcare interoperability - Familiarity with the US healthcare system and regulatory environments - Built data systems for regulated industriesWhat we offer - Ground-floor opportunity in a stealth startup with massive potential - High ownership — direct impact on product and technical decisions - Path to build and lead a data team as we scale - Work with world-class engineers and healthcare veterans - Access to cutting-edge AI/ML technologies and healthcare datasets - Fully remote, flexible hours (optimized for Brazil time zones) - Competitive salary + significant equity upside - Mission-driven work — improving healthcare outcomes for clinics and patientsReady for the challenge? If you're a senior data engineer who loves building complex systems from scratch and wants to make a real impact in healthcare, this is your chance.👉 Apply now and help us transform healthcare revenue management through the power of data and AI.