Collaborate with a cross-functional agile team to design, develop, and implement a multi-agent AI solution utilizing Python, LangChain, and LangGraph to build and integrate AI models capable of interpreting data frames and structured data. Work with large language models (LLMs) to process and analyze data from SQL databases and CSV or Parquet files.
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Unlimited PTO
This role involves architecting and maintaining client-specific and internal RAG pipelines, collaborating with enterprise clients to assess data landscapes and retrieval requirements, and optimizing embedding models for accuracy and efficiency. You will also design retrieval strategies, establish evaluation metrics, and maintain documentation for internal and client teams, staying current with advancements in vector databases and retrieval frameworks.