Search Engineer
We're seeking an experienced Search Engineer to build and optimize Retrieval-Augmented Generation (RAG) models for search across large-scale medical and scientific documents.
The ideal candidate will have 1+ years of experience as a Search Engineer or AI Engineer, with expertise in semantic chunking strategies, improving automated evaluation pipelines, and fine-tuning Large Language Models (LLMs) for textual RAG use cases.
Key Responsibilities:
* Develop and maintain scalable search systems using OpenSearch
* Design and implement efficient retrieval workflows using LangChain tools, memory, and retrieval
* Collaborate with cross-functional teams to integrate search capabilities into various applications
Required Skills and Qualifications:
* 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
Nice to Have Skills:
* Familiarity with AWS infrastructure (IAM, VPC, S3, etc.)
* Exposure to RAG architectures, specifically textual RAG use cases
What We Offer:
* A challenging role that combines cutting-edge technology with real-world applications
* Opportunities for professional growth and development in a dynamic environment
* A collaborative team atmosphere with a focus on innovation and excellence