[Hiring] Full Stack AI Engineer @Reveleer

Role Description

As the industry's pioneering value-based care (VBC) technology platform, Reveleer is purpose-built to solve the most pressing real-world challenges faced by providers and health-plan organizations today. By unifying retrieval, clinical intelligence, risk adjustment, quality improvement, and member management solutions into one intelligent, AI-powered system, Reveleer streamlines fragmented workflows to supercharge productivity, enhance care quality, and optimize performance on high-priority value-based initiatives.

You will be joining a small team within Reveleer AI division, in charge of developing the next generation agentic model for clinical prospective suspecting. As a full stack software developer in our team, you will be working in the unique environment of a small team with large scale impact to enable the expansion of our product and fast growth of our users.

• Apply first-principles thinking to break down hard problems and ship durable solutions.
• Understand business needs and build end-to-end product experiences across the stack — backend services, data pipelines, and frontend interfaces.
• Build, scale, and maintain infrastructure — containerized microservices, orchestration pipelines, cloud-native architecture.
• Develop and continually improve observability of systems and infrastructure at scale.
• Partner closely with clinical experts and other engineers to build highly scalable, clinically accurate systems that surface actionable insights.
• Challenge the status quo. If something is slow, fragile, or over-engineered, fix it.
• Troubleshoot, diagnose, and resolve production issues daily. Own the problem from alert to root cause to prevention.

Qualifications

• 5+ years of experience building high-quality code and infrastructure.
• 3+ years of experience working with large-scale distributed systems — microservices, event-driven architecture, or pipeline orchestration.
• 2+ years of experience with AWS or Google Cloud.
• Hands-on experience building across the stack: backend services (Python, Node, or similar) and frontend interfaces (React, TypeScript, CSS).
• Familiarity with containerization, cloud-native deployment patterns, and common architectural patterns for scalable systems.
• Strong debugging instincts — you can trace a problem through multiple services, read logs, form hypotheses, and fix things under pressure without relying on an LLM to do the thinking for you.
• Proven curiosity with the latest generative AI advances and a thoughtful perspective on where AI tools help and where they don't.
• High ownership and accountability. You treat the systems you build as yours.

Requirements

• Experience in healthcare, clinical data, or value-based care.
• Experience with pipeline orchestration tools (Airflow, Prefect, Dagster, or similar).
• Experience with Firestore, BigQuery, or other GCP data services.

Benefits

• Competitive salary
• Medical, Dental and Vision benefits
• 401k match
• Generous PTO plan