Description
We're building an AI-powered platform that combines document intelligence, Retrieval-Augmented Generation (RAG), LLM workflows, and scalable backend infrastructure. This is not a simple ChatGPT wrapper or weekend AI demo. The platform is intended to support thousands of users, multiple AI providers, document processing pipelines, background workers, and production-grade APIs. We're looking for an experienced engineer who has already built and shipped real AI systems. You'll work directly with the founder to build the first production version of the platform and establish the technical foundation for future development. Important: Personalized Loom Video Required Please include a 5–10 minute Loom video created specifically for this job. Generic introduction videos will be ignored. In your Loom, we'd like you to walk through a relevant project you've built and explain: The overall architecture Your role in the project How the AI pipeline worked Which LLMs and embedding models you used How documents were processed How retrieval was implemented How background jobs were handled Any scaling or production challenges you solved What you would prioritize when building a production AI backend Please hide any confidential client information. About the Project The platform allows users to upload documents, create AI assistants, and interact with their own knowledge through natural language. Core features include: Document upload and ingestion OCR support Embedding generation Vector searc