
AI/ML Research Scientist
1 dia atrás
Job Description
We are seeking an experienced AI/LLM Engineer to join our team building backend features for a Retrieval-Augmented Generation (RAG) service. The primary focus will be on designing and developing scalable search systems using OpenSearch, along with optimizing RAG models for large-scale medical and scientific documents.
Main Responsibilities:
- Designing and Developing Scalable Search Systems: Build and optimize RAG models for search across large-scale medical and scientific documents using Python development experience.
- RAG Model Optimization: Work on semantic chunking strategies, improving the automated evaluation pipeline, and fine-tuning LLMs for textual RAG use cases.
Required Skills and Qualifications
The ideal candidate should possess 1+ years of experience as a Search Engineer or AI Engineer. Strong communication skills are essential, including the ability to work independently while providing clear updates to the team. Familiarity with LangChain for building LLM workflows using tools, memory, and retrieval is also required.
- Mandatory Requirements:
- 1+ years of experience as a Search Engineer or AI Engineer.
- Strong communication skills – able to work independently while providing clear updates to the team.
- Experience with LangChain for building LLM workflows using tools, memory, and retrieval.
Nice to Have Skills
Familiarity with AWS infrastructure and exposure to RAG architectures, specifically textual RAG use cases, are highly valued.
Familiarity with AWS Infrastructure:Exposure to RAG Architectures:What We Offer
This role offers a heads-down, individual contributor position that requires strong communication and collaboration with the team. As an AI/LLM Engineer, you will have the opportunity to work on cutting-edge projects and contribute to the development of innovative technologies.
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