AI Engineer
Description of the Role
As an AI Engineer at Vytalize Health, you will design, build, and maintain agentic systems and LLM-powered applications that automate complex healthcare workflows and accelerate our ability to deliver data-driven clinical solutions. Working at the intersection of applied AI and healthcare, you will build agents that orchestrate data retrieval, model inference, clinical logic, and tool use to solve problems that traditionally require manual effort or specialized expertise.
You will work cross-functionally with data engineering, platform, product, and clinical teams to identify high-impact opportunities for AI automation—from data source onboarding to clinical decision support to evidence synthesis. Your focus will be on building production-grade agentic systems with rigorous validation, clear confidence scoring, and human-in-the-loop oversight to ensure reliability in a regulated healthcare environment. You will establish patterns, best practices, and tooling that allow the organization to scale AI-driven automation across multiple domains. You will measure agent performance and impact—tracking accuracy, hallucination rates, and real-world clinical outcomes. You will be part of a growing AI team that values both cutting-edge AI capabilities and deep healthcare domain understanding.
Primary Responsibilities
- Design, build, and maintain agentic systems and LLM-powered applications that automate healthcare workflows, data pipelines, and clinical decision support — from conception through production deployment
- Build and orchestrate agents using LLM APIs (OpenAI, Anthropic, etc.) and agentic frameworks (LangChain, LangGraph, CrewAI, or custom orchestration) to solve complex, multi-step healthcare problems
- Develop prompt libraries, agent instructions, and reusable "skills" that improve agent accuracy, consistency, and reliability across different use cases and data domains
- Build validation and confidence-scoring layers that flag...