Job Description
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...
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...