50
Senior Full-Stack Dev: FastAPI + React + PostgreSQL + AI Document System
UpworkDZNot specifiedexpert
Tailwind CSSPostgreSQLfast apireact 18Docker ComposeGoogle Cloud Vision APIgemini api
Project Overview
We are building a high-end AI-powered SaaS platform designed to automate complex business operations.
The platform combines multiple modules into one unified system:
• Intelligent document management
• Multi-company accounting
• Real estate sales administration (ADV)
• CRM with lead qualification
• Construction project management
• HR automation
• AI marketing tools
• Workflow automation across all departments
The core philosophy of the system:
The human does the minimum, the system does the maximum.
The platform must automate workflows and only ask the user for input when the system cannot determine the correct action with certainty.
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System Architecture
The platform follows a modular architecture composed of:
• Frontend interface (multi-role dashboards)
• REST API backend
• AI processing layer
• Business services layer
• Workflow automation layer
• PostgreSQL database
• External AI integrations
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Mandatory Tech Stack
Backend
• Python 3.11
• FastAPI
• PostgreSQL 16
• Async architecture
Frontend
• React 18
• Tailwind CSS
Infrastructure
• Docker / Docker Compose
AI Integrations
• Google Cloud Vision
• Gemini AI APIs
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Core Responsibilities
The developer will:
Backend Development
• Build scalable REST APIs with FastAPI
• Design and implement the PostgreSQL database architecture
• Implement business modules and services
• Create workflow automation between modules
Frontend Development
• Build a modern React interface
• Implement dashboards and workflow screens
• Connect frontend to backend APIs
AI Integration
• OCR document processing
• AI data extraction
• AI-based workflow automation
Infrastructure
• Dockerized environment
• Deployment-ready architecture
• Automated testing
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Deliverables
• Production-ready backend architecture
• Complete PostgreSQL schema
• FastAPI REST API
• React frontend dashboard
• AI integrations
• Workflow automation
• Docker deployment environment
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