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