Job Title: AI Engineer (Search Engine)
We are seeking an AI/LLM Expert to join our team in building backend features for a Retrieval-Augmented Generation service. The primary focus will be developing and optimizing RAG models for search across large-scale medical and scientific documents, including pre-processing and embedding over half a billion documents to ensure they are searchable and contextually accurate.
You will work on semantic chunking strategies, improving the automated evaluation pipeline, and fine-tuning LLMs for textual RAG use cases. This role involves hands-on experimentation, model development, and backend engineering, with deployments to non-prod environments and collaboration with DevOps for production rollout.
Strong communication and collaboration skills are essential while working independently and providing clear updates to the team. You must have 1+ years of experience as a Search Engineer or AI Engineer, search technology experience – OpenSearch, 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.