Backend Feature Engineer
As a skilled Backend Feature Engineer, you will play a crucial role in building and optimizing Retrieval-Augmented Generation (RAG) models for search across large-scale medical and scientific documents. Your primary focus will be on semantic chunking strategies, improving the automated evaluation pipeline, and fine-tuning Large Language Models (LLMs) for textual RAG use cases.
Key Responsibilities:
* Design, develop, and deploy scalable search systems using OpenSearch technology
* Collaborate with DevOps teams to ensure seamless production rollout of RAG models
* Develop and maintain high-quality backend features using Python and API creation
Requirements:
* 1+ years of experience as a Search Engineer or AI Engineer
* Strong understanding of search technology and scalable system design
* 2+ years of Python development experience, including API creation, model training, testing, and general backend programming
Benefits:
* Ability to work independently with clear updates to the team
* Opportunity to contribute to cutting-edge RAG models and workflows
Other Considerations:
* Familiarity with LangChain for building LLM workflows
* Exposure to AWS infrastructure (IAM, VPC, S3, etc.)