About Us

Rivio’s vision is to be the intelligence layer for healthcare. We are developing the first AI action system to orchestrate healthcare data and operations in LATAM. Our goal is to let healthcare providers focus on what they do best: delivering great care. As our first step, we are building an AI platform to automate end-to-end revenue cycle workflows, helping providers to get paid faster and more accurately.

We already serve providers across all regions of Brazil, and we are scaling fast.

Check out our website: https://www.rivio.com.br/

What you’ll do

You’ll be the driving force behind Rivio’s AI function, building intelligence systems that automate and optimize complex healthcare workflows — from patient clinical records to health insurers claim submission and denial management. You’ll work hand-in-hand with product, design, platform, and customers to turn medical data into production-grade AI agents and predictive models.

• Ship production-grade AI systems: Design, train, and deploy models that classify events, detect anomalies, and agents that automate decisions based on real-world signals.
• Orchestrate agentic workflows: Combine retrieval pipelines, programmatic logic, and predictive models to replace repetitive human tasks with reliable, intelligent automation.
• Own learning and eval loops: Build the experimentation, validation, and feedback loops so each agent gets smarter, while staying auditable and aligned with high-stakes outcomes.
• Embed closely with healthcare providers: Engage directly with hospital admins and operators to surface pain points, co-create new features, and refine our agents to dramatically increase ops accuracy while cutting manual workloads.
• Shape the platform roadmap: Translate customer feedback and analytics into new product ideas—prototyping agents, collaborating with product, design, and operations, and steering the evolution of Rivio platform into the definitive AI backbone for healthcare.

What you’ll bring

• Experience building and deploying AI/ML systems in production.
• Well versed in applied statistical modeling, advanced analytics (e.g., survival analysis, time-to-event models, GLMs, clustering), and causal inference techniques (e.g., propensity scores, diff-in-diff) to extract insights and guide decision-making from real-world data.
• Deep experience building monitoring and observability ML pipelines, using modern tools (PyTorch, Jax, TensorFlow, Airflow, Kubeflow, MLflow).
• Proven ability to ship full-stack solutions (microservices, APIs, and front-end integrations).
• Zero-to-one mentality: you thrive balancing speed, ownership, and technical excellence.
• High agency with an innate passion for solving problems and overcoming obstacles.

Bonus