The

AI Engineer

is an ML engineer who is responsible for building and optimizing machine learning models, retrieval-augmented generation (RAG) systems, and verifiable ML systems that transform how we search and analyze complex medical and insurance data. This role requires a deep understanding of machine learning, LLM technologies, data science, and software engineering. This is an ML-engineering role and

not a data science role , which means you should be comfortable building production-ready systems. This is

not a research

role.

ESSENTIAL JOB RESPONSIBILITIES & KEY PERFORMANCE OUTCOMES
Data engineering: Design and optimize systems capable of processing large volumes of data in both batch and real-time.
Design, implement, and optimize retrieval-augmented generation (RAG) systems that leverage the latest LLM technologies to deliver highly relevant search results at scale.
Develop and refine embedding models, vector database...