About Our AI Engineer Opportunity
We are seeking an accomplished AI/LLM Engineer to join our team and contribute to the development of a Retrieval-Augmented Generation (RAG) service. This role involves designing, building, and optimizing RAG models for efficient search across vast medical and scientific document databases.
* Main Responsibilities:
* Design and optimize RAG models for scalable search functionality
* Develop effective pre-processing and embedding strategies for document searchability and contextual accuracy
* Fine-tune Large Language Models (LLMs) for textual RAG applications
* Requirements:
* At least 1 year of experience as a Search Engineer or AI Engineer in a similar capacity
* Proven expertise in Search Technology, including OpenSearch and scalable search system development
* 2+ years of Python development experience, encompassing API creation, model training, testing, and backend programming
* Familiarity with LangChain for constructing LLM workflows using tools, memory, and retrieval
* Nice to Have Skills:
* Familiarity with AWS infrastructure (IAM, VPC, S3)
* Exposure to RAG architectures, specifically textual RAG use cases