Full Stack AI Engineer

Reveleer

Posted 3mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

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.

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
Proven curiosity with the latest generative AI advances
High ownership and accountability

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.

Skills