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 careAutomated medical coding and billing optimizationIntelligent workflows for claim follow-up and denial reductionSeamless 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 datasetsArchitect real-time pipelines for AI-driven healthcare applicationsDefine data governance frameworks , ensuring HIPAA compliance and securityAI / ML infrastructure
Build and optimize data flows for LLMs and machine learning applicationsDevelop feature pipelines for healthcare-specific AI modelsSupport real-time AI inference at the point of carePlatform development
Create APIs and data services that integrate with EHRs and billing platformsBuild observability and monitoring for complex data workflowsImplement disaster recovery and backup strategies for mission-critical healthcare dataWhat we’re looking for
10+ years building production-grade data systems at scaleExpert in Python and SQL (Go is a plus)Deep experience with AWS (Redshift, RDS, EMR, etc.)Strong skills with Docker, Kubernetes, and IaCProven experience with streaming data , ETL / ELT , and workflow orchestrationBuilt 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 interoperabilityFamiliarity with the US healthcare system and regulatory environmentsBuilt data systems for regulated industriesWhat we offer
Ground-floor opportunity in a stealth startup with massive potentialHigh ownership — direct impact on product and technical decisionsPath to build and lead a data team as we scaleWork with world-class engineers and healthcare veteransAccess to cutting-edge AI / ML technologies and healthcare datasetsFully remote , flexible hours (optimized for Brazil time zones)Competitive salary + significant equity upsideMission-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.