AI/RAG Developer & Data Engineer — Document Extraction Engine

Tech startup looking for an AI developer / data engineer to improve and scale the extraction engine of our existing AI document-processing software, DataXtrak. Important: the software already exists and works. We are not starting from scratch ,there is a functional prototype in place. We need someone to build on top of it, improve it and make it production-ready, not rebuild it from zero. Scope: -Enhance the existing document data-extraction pipeline (data engineering): make it handle large volumes reliably. -Improve / extend the AI / RAG system (retrieval-augmented generation) for more accurate, intelligent extraction. -Add strong data cleaning and structuring (handle messy, inconsistent or duplicate data and turn it into clean, reliable output — structured exports / spreadsheets). -Add an optimized database search system (fast, efficient querying and indexing across large datasets). -Set up the server architecture and deployment to move the existing software from desktop to a scalable, secure SaaS (servers, storage, APIs). -Ensure strong data security and confidentiality at every layer (we are a European company and must follow GDPR / European data-protection standards). Profile: Strong in Python, data engineering and document processing. Solid experience with LLMs / RAG systems. Experience in data cleaning and data quality (normalizing messy real-world data). Comfortable with databases and query optimization. Experience deploying secure, scalable server / cloud (SaaS) infrastructure. Mindful of data security and GDPR compliance. Able to work on and improve an existing codebase (not just greenfield projects). Engagement: remote, hourly. Goal: production-ready version before the end of August. Please share examples of similar AI / RAG and data-engineering projects you've built.