Full Stack AI Engineer
Company: Reveleer
Location: United States (Remote)
Salary: $175k - $200k per year
Type: Full-time
Remote: Yes
Posted: 2026-08-10
About this role
**Full Stack AI Engineer
Remote Opportunity**
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.
About the Team:
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.
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.
Required Skills
- 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...