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We are seeking a highly skilled professional to build and optimize Retrieval-Augmented Generation (RAG) models for search across large-scale medical and scientific documents.
Main Responsibilities:- Design and implement RAG models, including pre-processing and embedding over half a billion documents.
- Develop semantic chunking strategies to improve the automated evaluation pipeline.
- Fine-tune Large Language Models (LLMs) for textual RAG use cases.
- At least 1 year of experience in Search Engineering or AI Development.
- Excellent communication skills - able to work independently while providing clear updates to the team.
- Proficiency in Python development, including API creation, model training, testing, and general backend programming.
- Familiarity with LangChain for building LLM workflows using tools, memory, and retrieval.
This is an opportunity to work on cutting-edge projects and collaborate with experienced engineers. If you have a strong background in AI/ML and excellent problem-solving skills, we encourage you to apply.
The ideal candidate will be able to work effectively in a team environment and have opportunities for professional growth and development through our competitive salary and benefits package.
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Brasil beBeeAI Tempo inteiro US$40.000 - US$60.000Contribute to the Future of AI-Driven AnalyticsA leading tech company is seeking a skilled Portuguese-language analyst to enhance and optimize Large Language Models (LLMs). The ideal candidate will have strong analytical skills, excellent Portuguese comprehension, and the ability to read, summarize, and validate large content.
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