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.

5+ years of experience in machine learning engineering, with a focus on building production AI systems and deploying models at scale.
Strong experience with machine learning frameworks (PyTorch, TensorFlow, or JAX).
Proficiency in: Python and modern ML frameworks (PyTorch, TensorFlow, or JAX).
LLM technologies including prompt engineering, fine-tuning, and RAG systems.
Vector databases and semantic search systems.
Building reliable, production-grade AI systems with proper evaluation and monitoring.
MLOps practices including model versioning, A/B testing, and performance tracking.
Working with APIs and integrating AI systems into broader product workflows.

Experience working with healthcare data or understanding of medical billing workflows.

Hybrid

You’re passionate about Joyful Health’s mission – you want to solve real, pressing problems for providers and put them in control of their businesses.
You naturally empathize with users and enjoy designing solutions with their needs in mind.
You’re excited to shape the future of our engineering team and are excited to lead by example – as an early team member, you’ll have the chance to influence everything from our technical roadmap to our company culture.
You have a radical sense of ownership with the ability and desire to own technical roadmaps and refine ambiguous problems.
You also have a low ego, growth mindset, and desire to see the product and team scale with your impact.
You have a love for your craft and strong technical execution - you view coding as a craft, not just a task, and you're excited about using technology to create meaningful impact.
Your technical skills go beyond coding—you care about building a product that works at scale, with the user at the forefront.
We care more about your drive, hustle, and passion than a college degree from a shiny institution or experience at name-brand companies.

Joyful Health is hiring an AI Engineer