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Joyful Health

Financial operating system for healthcare practices

AI Engineer

Natural Language Processing & LLMsPosted on Nov 13
Full-timeNew York, NY, USA

About the Job

Requirements

  • Have 4+ years of experience in machine learning or AI engineering, focused on building production AI systems and deploying models at scale.
  • Be proficient in Python and modern machine learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Have experience with large language model technologies, including prompt engineering, fine-tuning, and retrieval-augmented generation systems.
  • Have experience with vector databases and semantic search systems.
  • Be able to build reliable, production-grade AI systems with appropriate evaluation and monitoring.
  • Have experience with MLOps practices, including model versioning, A/B testing, and performance tracking.
  • Have experience working with application programming interfaces and integrating AI systems into broader product workflows.
  • Be able to own technical roadmaps and refine ambiguous problems.

Responsibilities

  • Design and build the architecture for an 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 research, decision-making, and document-generation workflows.
  • Build and optimize retrieval-augmented generation systems to retrieve 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 large language model behavior for healthcare billing workflows.
  • Work 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.
  • Contribute to the team’s AI and machine-learning vision and technical roadmap.
  • Collaborate on code reviews and technical design documents to ensure code quality and distribute knowledge.

Desired Qualifications

  • Experience working with healthcare data or understanding medical billing workflows.
  • Experience as a founder or an early engineer at a startup.

About the Company

Joyful Health

Financial operating system for healthcare practices

Joyful Health provides a financial operating system for healthcare practices that enhances revenue recovery and financial transparency by integrating with existing EHRs and billing systems to pull data from multiple sources. The platform gathers data, identifies missed revenue opportunities, automates collections, and tracks denied or underpaid claims through dashboards and automated workflows. It stands out by offering seamless integration with any EHR and consolidating data from many sources to give a complete financial picture with automation that reduces manual work. Its goal is to help healthcare providers reclaim lost revenue, improve financial health, and keep financial data secure under HIPAA compliance.

Company size
11-50
Company stage
Series A
Total funding
$17M
Headquarters
New York City, New York
Founded
2023

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