Python RAG Ingestion Engineer

Offer description

I’m building a desktop-first retrieval-augmented generation (RAG) tool and I need a senior Python engineer to take full ownership of the document-ingestion layer. The current prototype already embeds and queries local language models, but the pipeline that feeds them is still thin. Your focus will be to ingest and normalise three document types—plain text, PDFs, and Word files—so they can be chunked, vectorised, and indexed reliably. Here is the landscape you’ll be stepping into: • Stack: Python 3.11, LangChain, FastAPI, SQLite for local mode, Postgres in the cloud, Git for workflow, and a mix of GGUF local models plus an OpenAI fallback. • Environment: Windows is the primary target, so you should be comfortable with PyInstaller or similar packaging to...

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