AI Engineer

Joyful Health builds AI agents to help healthcare providers recover revenue from insurers. The AI Engineer will lead the development of an agentic AI platform that researches and resolves insurance claim denials, including denial analysis, evidence retrieval, payer policy reasoning, and appeal generation.

Responsibilities:

• Design and build the architecture for our agentic AI system that autonomously resolves insurance claim denials
• Develop specialized AI agents for denial classification, root cause analysis, evidence retrieval, policy reasoning, and appeal generation
• Implement multi-agent orchestration frameworks that coordinate complex workflows across research, decision-making, and document generation
• Build and optimize RAG systems to retrieve relevant clinical documentation, billing records, and payer policy information
• Create evaluation frameworks and feedback loops to continuously improve agent performance and reliability
• Design prompt engineering strategies and fine-tuning approaches to optimize LLM behavior for healthcare billing workflows
• Work closely with billing managers to understand denial resolution workflows and translate them into agent behaviors
• Collaborate with the engineering team on production infrastructure for deploying and monitoring AI agents at scale
• Actively contribute to building the team’s AI/ML vision and technical roadmap
• Collaborate on code reviews and technical design documents to ensure code quality and distribute knowledge