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RAG Pipeline Developer

Neuvelle AI

Remote · $100K – $130K · Full-time · Posted 6 months ago

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About the role

We are building a knowledge assistant for our internal teams and need a developer to design and implement the RAG (Retrieval-Augmented Generation) pipeline — from document ingestion to vector search to response generation.

Fully remote.

Responsibilities

  • Design and build the end-to-end RAG pipeline
  • Implement document chunking, embedding, and indexing strategies
  • Integrate with OpenAI or Anthropic for generation
  • Build an evaluation framework for retrieval and answer quality
  • Document the system for internal engineering team

Requirements

  • Experience building RAG systems with LlamaIndex or LangChain
  • Familiarity with vector databases (Pinecone, Chroma, Qdrant, Weaviate)
  • Strong Python and understanding of embedding models
  • Able to evaluate retrieval quality and improve relevance
  • Comfort working with unstructured data (PDFs, Word docs, Confluence)

Benefits

  • Greenfield RAG project — your design decisions
  • Remote
  • Equity
  • Learning budget
  • Small, smart team

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Categories

NLP & Prompt Engineering Data Science & Analytics Data Science

Skills

python llamaindex langchain rag openai api

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Language

English

Salary Range

$100,000 – $130,000

AI Expertise

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Skills

python llamaindex langchain rag openai api hugging face

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About Neuvelle AI

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