Our team is seeking an experienced Search Technology Specialist to build and optimize large-scale models for search across vast medical and scientific documents.
Key Responsibilities:
* Developing and fine-tuning Retrieval-Augmented Generation (RAG) models for efficient search capabilities
* Embedding millions of documents to ensure they are accurately searchable and contextually relevant
* Designing and implementing semantic chunking strategies for enhanced search functionality
* Improving the evaluation pipeline for automated assessment
* Fine-tuning Large Language Models (LLMs) for textual RAG applications
This individual contributor role requires strong communication and collaboration skills, with expertise in Search Technology – OpenSearch, Python development, LangChain, and AWS infrastructure. The ideal candidate will have hands-on experience with these technologies and a passion for driving innovation in search solutions.
Requirements:
* Proven track record in developing and optimizing search models
* Expertise in Search Technology, Python, LangChain, and AWS infrastructure
* Strong understanding of Retrieval-Augmented Generation (RAG) concepts and techniques
* Excellent communication and collaboration skills
* Ability to work independently with minimal supervision