AI Engineer

What we're looking for

We're looking for an experienced AI/ML Engineer with at least 2 years of hands-on ML or AI deployment experience to build and deploy our agentic AI platform. You should be comfortable working in a fast-paced startup environment, moving quickly to build and iterate on LLM agentic workflows. Bonus points if you have experience deploying agents or have a background in reinforcement learning.

What you'll do

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