Full Stack AI Engineer

Reveleer

1d•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. 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.

Requirements

5+ years of experience building high quality code and infrastructure.
3+ years of experience working with large-scale systems.
2+ Experience with AWS and Google Cloud
A passion for building delightful Customer-centric user experiences, from the backend to the frontend.
Proven curiosity with the latest Generative AI advances.
Hands-on experience in client-side development using ReactJS, CSS, JavaScript, Typescript.
Hands-on experience in NodeJS and MongoDB.
Familiarity with common best practices, design and architectural patterns.
Great problem-solving skills, eager to learn and face new challenges.
Highly motivated, self-learner with great attention to detail.
Thrive in a collaborative environment involving different functions, stakeholders, and subject matter experts.
Attention to detail, especially around performance, accessibility, reliability, and security.

Responsibilities

Obsess over the details and applying first principle mindset to address challenges.
Understand business needs and build end-to-end product experiences.
Solve product problems and build delightful user experiences for our users.
Contribute to building and scaling infrastructure.
Develop and continually improve observability of activity and infra at scale.
Continually challenge status quo and existing solutions to improve scalability & efficiency
Partner closely with other engineers and scientists to build highly scalable, ML driven system(s), help run experiments, and surface insights across all points of customer interactions
Resolve problems and provide daily troubleshooting, analysis, and problem definition for production issues.