Full Stack AI Engineer

Description: Develop AI applications for healthcare workflows, including retrieval-augmented generation (RAG) systems and real-time voice agents. Collaborate with product and engineering teams to ensure systems are useful and secure, handling sensitive healthcare data. Requirements: Strong experience in building RAG systems and integrating LLM provider APIs. Proficiency in Python 3.12+ and JavaScript/Node.js, including API development. Familiarity with LangChain, LangGraph, and real-time voice application development. Knowledge of Docker, CI/CD tools, and HIPAA compliance. Benefits: Opportunity to work on impactful AI features in healthcare. Collaborate in a dynamic team environment with a focus on security and performance.