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Full Stack AI Engineer

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Machine Learning EngineerData
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Quick Summary

Overview

Full Stack AI Engineer Remote Opportunity As the industry’s pioneering value-based care (VBC) technology platform,

Technical Tools
Machine Learning EngineerData

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.

Responsibilities

~1 min read

· 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 — 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 Have

~1 min read

· 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.

WHAT YOU’LL RECEIVE:

· Competitive salary 

· Medical, Dental and Vision benefits 

· 401k match

· Generous PTO plan 

 Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

Reveleer E-Verifies all new hires.

Reveleer is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.

Location & Eligibility

Where is the job
US
Remote within one country

About this job

Posted
2 days ago
Employer
has 18 open jobs on Jobera in 2 countries.

Listing Details

Posted
November 4, 2026
First seen
November 4, 2026
Last seen
November 5, 2026

Posting Health

Days active
0
Repost count
1
Trust Level
61%
Scored at
November 5, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust

Reveleer is a healthcare technology company that provides a SaaS platform using AI and NLP to help health plans and risk-bearing providers manage Quality Improvement, Risk Adjustment, and Member Management programs. Their solutions aim to streamline workflows, improve data accuracy, and enhance patient outcomes.

Employees
201-500
View company profile
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Full Stack AI Engineer