AI Document Intelligence Platform Development

AI Full-Stack Developer (LLM / RAG)

Project Overview

We are building an AI-powered document intelligence platform that allows users to upload, search, and interact with documents using a conversational interface. The system will use LLMs, embeddings, and vector search to deliver accurate, context-aware responses.

This is a production-focused project, not a prototype. We are looking for someone who has built real AI applications end-to-end.

Responsibilities

- Develop backend APIs integrating LLM providers (OpenAI, Anthropic, etc.)

- Build and optimize a RAG pipeline using embeddings and a vector database

- Implement document ingestion and indexing

- Develop a clean, responsive frontend (React or similar)

- Deploy and configure the system in a cloud environment

Required Skills

- Strong Python backend experience (FastAPI preferred)

- Hands-on experience with LLMs and RAG systems

- Experience with vector databases

- React or modern frontend framework

- Cloud deployment experience (AWS, Azure, or GCP)

To Apply

Please share examples of AI projects you’ve built, your tech stack, and your availability.