Search Technology Expert
We are seeking a highly skilled Search Technology Expert to join our team in building and optimizing Retrieval-Augmented Generation (RAG) models for search across large-scale medical and scientific documents.
This is an individual contributor role that requires strong hands-on experimentation, model development, and backend engineering skills with deployments to non-prod environments and collaboration with DevOps for production rollout.
Your primary focus will be on pre-processing and embedding over half a billion documents to ensure they are searchable and contextually accurate. You'll work on semantic chunking strategies, improving the automated evaluation pipeline, and fine-tuning LLMs for textual RAG use cases.
Requirements:
* 1+ years of experience as a Search Engineer or AI Engineer
* Experience with OpenSearch and building scalable search systems
* 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
Nice to Have Skills:
* Familiarity with AWS infrastructure (IAM, VPC, S3, etc.)
* Exposure to RAG architectures, specifically textual RAG use cases