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AI Engineer with advanced RAG concepts

Salary undisclosed

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- Have experience with advanced RAG concepts like (rereanking, scoring profiles, pre-retrieval, post-retrieval, query planning, query decomposition etc)

- Check if candidate is able to speak to these terms without us revealing it to them

- If they have done data ingestion:

- Need what the pipeline looks like

- What vector database they used, what's the dimensions etc (anyone who worked should be able to tell these easily)

- Some python libraries they have used in their project related to genai, llm etc

- It should be much more than langchain.

- Evaluation: How did they evaluate their project

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