Full Stack AI Engineer

Reveleer

1d•$175,000 - $200,000•Remote

About The Position

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.

Requirements

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

Nice To Haves

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.

Responsibilities

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.