AI/LLM Engineer Job Description
We are seeking a skilled AI/LLM Engineer to join our team in building and optimizing Retrieval-Augmented Generation (RAG) services. The ideal candidate will have experience with search technology, Python development, and backend programming.
The primary focus of this role is on developing and fine-tuning Large Language Models (LLMs) for search across large-scale medical and scientific documents. This involves pre-processing and embedding over half a billion documents to ensure they are searchable and contextually accurate.
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o Develop and optimize RAG models for search across large-scale medical and scientific documents
o Fine-tune LLMs for textual RAG use cases
o Work on semantic chunking strategies and improving the automated evaluation pipeline
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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
Benefits:
This role offers the opportunity to work on cutting-edge technologies and contribute to the development of innovative search solutions. The successful candidate will be part of a small, focused team that values collaboration and experimentation.