Remote Full-Stack AI Engineer — Healthcare Platform

Reveleer; Northern (KY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical, Dental and Vision benefits

401k match

Generous PTO

Job summary

Reveleer is seeking a Full Stack AI Engineer for a remote role. You will design and build end-to-end software across backend services, data pipelines, and frontend interfaces, powering the next generation of value-based care tools.

Join a small, agile team to ship durable solutions, improve observability, and collaborate with clinical experts to surface actionable insights while maintaining secure, scalable infrastructure.

Qualifications

• 5+ years building production-grade software and infra.
• Experience with distributed systems and microservices architecture.
• Hands-on experience across the stack: backend (Python/Node) and frontend (React/TypeScript).
• Experience with AWS or Google Cloud and cloud-native deployments.

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 with clinical experts and engineers to surface actionable insights from complex data.

Skills

Distributed systems

Backend (Python/Node)

React/TypeScript

Containerization

AWS or GCP

Observability

First-principles thinking

AI tooling familiarity

High ownership

Tools

Airflow

Dagster

Firestore

BigQuery

Job description

Reveleer is seeking a Full Stack AI Engineer for a remote role. You will design and build end-to-end software across backend services, data pipelines, and frontend interfaces, powering the next generation of value-based care tools.

Join a small, agile team to ship durable solutions, improve observability, and collaborate with clinical experts to surface actionable insights while maintaining secure, scalable infrastructure.