# AI Engineer

**Company:** [Joyful Health](https://hotfix.jobs/companies/joyful-health)
**Location:** New York, NY
**Role:** ML Engineering
**Salary:** $150k – $275k/yr
**Experience:** 5+ years
**Skills:** Python, PyTorch, TensorFlow, JAX, LLMs, Prompt Engineering, RAG, MLOps, Vector Databases, APIs
**Posted:** 2026-02-05

> Leads development of agentic AI platform to autonomously resolve healthcare insurance claim denials using multi-agent workflows, RAG systems, and LLMs. Requires 5+ years in production ML engineering with Python and frameworks like PyTorch.

## Job Description

## What you'll do

- 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

## We'd love to hear from you if…

- 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**)
- Experience working with healthcare data or understanding of medical billing workflows is a plus
- 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

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**Apply:** https://hotfix.jobs/jobs/eebac521-d2a5-4d2e-b02c-547660cbf73a
**Canonical:** https://hotfix.jobs/jobs/eebac521-d2a5-4d2e-b02c-547660cbf73a