Senior Full-Stack AI Developer for Retail AI Platform (RetailMind)
Budget: $250 – $750 USD
Project Overview
We are building RetailMind, an AI-powered retail intelligence platform designed for supermarkets, hypermarkets, and large retail chains.
The platform will help retailers improve decision-making through AI-driven insights, forecasting, inventory optimization, pricing recommendations, operational analytics, and executive dashboards.
We are seeking an experienced Full-Stack Developer with strong AI integration experience to help design and develop the MVP and future production platform.
Responsibilities
• Design and develop scalable web applications.
• Build frontend and backend components.
• Integrate AI/LLM services and intelligent agents.
• Develop APIs and data integration layers.
• Build dashboards, analytics, and reporting modules.
• Implement authentication, security, and role-based access.
• Participate in architecture and technology decisions.
• Work closely with the Retail Domain Expert and Product Owner.
• Support deployment and cloud infrastructure setup.
Required Skills
• Full Stack Development
• Python
• React.js or Next.js
• Node.js
• FastAPI or Django
• REST APIs
• PostgreSQL
• Cloud Platforms (AWS, Azure, or GCP)
• AI/LLM Integration
• Git & CI/CD
Preferred Experience
• Experience with OpenAI, Claude, Gemini, or other LLMs.
• Experience building AI agents or agentic workflows.
• Experience with vector databases and RAG architectures.
• Experience with analytics and dashboard solutions.
• Experience with retail, supply chain, ERP, POS, CRM, or eCommerce systems.
• Experience building SaaS platforms.
Deliverables (Phase 1)
• Solution Architecture
• MVP Development
• Database Design
• API Framework
• User Authentication
• AI Recommendation Engine (Initial Version)
• Management Dashboard
• Documentation and Source Code
Project Type
• Remote
• Long-Term Opportunity
• MVP followed by Production Development
Screening Questions
1. Describe an AI or Agentic AI application you have built.
2. Which AI frameworks and LLMs have you worked with?
3. Have you built SaaS products from scratch? Please provide examples.
4. What technology stack would you recommend for this project and why?
5. Have you worked with retail, ERP, POS, inventory, loyalty, or supply chain systems?
6. Please share links to relevant projects, GitHub repositories, or demos.
7. Are you comfortable participating in architecture discussions and product design decisions?
8. How many hours per week can you dedicate to this project?
We are building RetailMind, an AI-powered retail intelligence platform designed for supermarkets, hypermarkets, and large retail chains.
The platform will help retailers improve decision-making through AI-driven insights, forecasting, inventory optimization, pricing recommendations, operational analytics, and executive dashboards.
We are seeking an experienced Full-Stack Developer with strong AI integration experience to help design and develop the MVP and future production platform.
Responsibilities
• Design and develop scalable web applications.
• Build frontend and backend components.
• Integrate AI/LLM services and intelligent agents.
• Develop APIs and data integration layers.
• Build dashboards, analytics, and reporting modules.
• Implement authentication, security, and role-based access.
• Participate in architecture and technology decisions.
• Work closely with the Retail Domain Expert and Product Owner.
• Support deployment and cloud infrastructure setup.
Required Skills
• Full Stack Development
• Python
• React.js or Next.js
• Node.js
• FastAPI or Django
• REST APIs
• PostgreSQL
• Cloud Platforms (AWS, Azure, or GCP)
• AI/LLM Integration
• Git & CI/CD
Preferred Experience
• Experience with OpenAI, Claude, Gemini, or other LLMs.
• Experience building AI agents or agentic workflows.
• Experience with vector databases and RAG architectures.
• Experience with analytics and dashboard solutions.
• Experience with retail, supply chain, ERP, POS, CRM, or eCommerce systems.
• Experience building SaaS platforms.
Deliverables (Phase 1)
• Solution Architecture
• MVP Development
• Database Design
• API Framework
• User Authentication
• AI Recommendation Engine (Initial Version)
• Management Dashboard
• Documentation and Source Code
Project Type
• Remote
• Long-Term Opportunity
• MVP followed by Production Development
Screening Questions
1. Describe an AI or Agentic AI application you have built.
2. Which AI frameworks and LLMs have you worked with?
3. Have you built SaaS products from scratch? Please provide examples.
4. What technology stack would you recommend for this project and why?
5. Have you worked with retail, ERP, POS, inventory, loyalty, or supply chain systems?
6. Please share links to relevant projects, GitHub repositories, or demos.
7. Are you comfortable participating in architecture discussions and product design decisions?
8. How many hours per week can you dedicate to this project?
Related categories:
Python
PostgreSQL
React.js
Visualization
Full Stack Development
Data Visualization
ETL
FastAPI
REST API
AI Development