Applied AI Engineer

About this role

As an Applied AI Engineer, you'll bring large language models into production healthcare workflows where accuracy and safety are non-negotiable. You'll design AI-assisted features that help operations teams work faster — case summarization, regulatory deadline interpretation, anomaly detection in case data — while implementing the guardrails and validation layers that healthcare environments require. This role sits at the intersection of applied ML engineering and product development, and you'll work directly with users who process real healthcare cases daily.

What you'll do

• Design and implement LLM-powered features for case summarization, document analysis, and regulatory interpretation
• Build safety guardrails, validation layers, and human-in-the-loop workflows for AI-assisted healthcare decisions
• Architect AI service infrastructure that meets HIPAA requirements for data handling and access control
• Evaluate and benchmark LLM providers and approaches for healthcare-specific tasks
• Develop prompt engineering strategies and retrieval-augmented generation pipelines for domain-specific knowledge
• Monitor AI feature performance in production and iterate based on user feedback and accuracy metrics

What we're looking for

• 3+ years of software engineering experience, with at least 1 year focused on LLM integration or applied AI
• Experience building production systems that integrate with LLM APIs (OpenAI, Anthropic, or similar)
• Strong software engineering fundamentals — this is as much an engineering role as an AI role
• Understanding of RAG architectures, embedding models, and vector databases
• Experience with evaluation frameworks for LLM outputs in high-stakes domains
• Comfort working in regulated environments where AI outputs require validation and audit trails