Job Summary:
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We are seeking an experienced AI Model Developer to join our team. As a key member of the development team, you will be responsible for building and optimizing Retrieval-Augmented Generation (RAG) models for search across large-scale medical and scientific documents.
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1. Main Responsibilities:
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* Design and develop RAG models for search across large-scale medical and scientific documents.
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* Develop strategies for pre-processing and embedding over half a billion documents to ensure they are searchable and contextually accurate.
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* Implement semantic chunking techniques.
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* Improve the automated evaluation pipeline.
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* Fine-tune Large Language Models (LLMs) for textual RAG use cases.
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Requirements:
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* At least 1 year of experience as a Search Engineer or AI Engineer.
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* Search technology experience – OpenSearch, building scalable search systems.
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* 2+ years of Python development experience, including API creation, model training, testing, and general backend programming.
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* Familiarity with LangChain for building LLM workflows using tools, memory, and retrieval.
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* Strong communication skills – able to work independently while providing clear updates to the team.
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Nice to Have Skills:
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* Familiarity with AWS infrastructure (IAM, VPC, S3, etc.).
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* Exposure to RAG architectures, specifically textual RAG use cases.
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Work Environment:
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* Fully Remote.
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* 10AM - 6PM BRT (9AM-5PM EST) working hours.
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Contract Type: CLT ONLY