Our organization is looking for an experienced AI/ML Engineer to join our team. The successful candidate will be responsible for building and optimizing RAG models for search across large-scale medical and scientific documents, pre-processing and embedding over half a billion documents to ensure they are searchable and contextually accurate, improving the automated evaluation pipeline and fine-tuning LLMs for textual RAG use cases.
Requirements
* The ideal candidate should have 1+ years of experience as a Search Engineer or AI Engineer.
* They should have Search Technology Experience – OpenSearch, with a proven track record of building scalable search systems.
* Additionally, the candidate should have 2+ years of Python development experience, including API creation, model training, testing, and general backend programming.
Familiarity with
* LangChain for building LLM workflows using tools, memory, and retrieval.
* AWS infrastructure, specifically IAM, VPC, S3, etc.
* RAG architectures, specifically textual RAG use cases.