Full Stack AI Engineer
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Job Description
Full Stack AI Engineer developing agentic clinical AI systems for Reveleer’s value-based care technology platform. Building backend, frontend, cloud infrastructure, and scalable data pipelines.
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 backend services, data pipelines, and frontend interfaces.
- Build, scale, and maintain infrastructure including containerized microservices, orchestration pipelines, and cloud-native architecture.
- Develop and continually improve observability of systems and infrastructure at scale.
- Partner with clinical experts and engineers to build scalable, clinically accurate systems that surface actionable insights.
- Troubleshoot, diagnose, and resolve production issues daily, owning problems from alert through root cause and prevention.
- Challenge the status quo by fixing slow, fragile, or over-engineered systems.
Requirements:
- 5+ years of experience building high-quality code and infrastructure.
- 3+ years of experience working with large-scale distributed systems, including 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 using Python, Node, or similar, and frontend interfaces using React, TypeScript, and CSS.
- Familiarity with containerization, cloud-native deployment patterns, and common architectural patterns for scalable systems.
- Strong debugging instincts, including tracing problems through multiple services, reading logs, forming hypotheses, and resolving issues under pressure.
- Curiosity about the latest generative AI advances and a thoughtful perspective on where AI tools help and where they do not.
- High ownership and accountability.
- Experience in healthcare, clinical data, or value-based care is nice to have.
- Experience with Airflow, Prefect, Dagster, or similar pipeline orchestration tools is nice to have.
- Experience with Firestore, BigQuery, or other GCP data services is nice to have.
- New hires must be E-Verified.
Benefits:
- Medical, Dental and Vision benefits
- 401k match
- Generous PTO plan
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