AI-Native Ecommerce Platform Development — Full-Stack + AI Engineer

AI Native Ecommerce Platform Development Project Overview We are looking for an experienced AI Engineer and Full Stack Software Developer to build a modern scalable AI Native Ecommerce Platform from the ground up The goal is to create an ecommerce system where AI is deeply integrated into the platform and helps automate product management customer interactions marketing sales analytics personalization and business operations We are looking for a developer who can take ownership of the architecture development AI integrations APIs database admin panel and production deployment Core Platform Ecommerce Engine Product management Categories and collections Product variants Inventory management Pricing and discounts Coupons and promotional offers Shopping cart Checkout Order management Customer accounts Wishlist Reviews and ratings Shipping management Payment gateway integration Refund and cancellation management Tax and invoice support AI Product Management AI should help merchants with product title generation product descriptions SEO content product categorization product tagging attribute extraction image understanding product recommendations duplicate product detection and bulk AI content generation Example Merchant uploads product images and AI identifies the product and generates product title description attributes tags SEO content and suggested category AI Shopping Assistant Build an intelligent AI shopping assistant that can understand customer queries recommend products compare products answer product questions help customers select sizes and variants suggest complementary products recover abandoned carts and assist customers before and after purchase Example I need a stylish black bra under 999 for everyday use AI should understand the request and dynamically recommend relevant products AI Personalization Engine Create an AI recommendation system based on customer browsing behavior purchase history search behavior cart activity product interactions and customer preferences The system should generate personalized recommendations similar products frequently bought together recently viewed products personalized offers and personalized homepage content AI Marketing Automation The platform should help merchants generate and automate Meta advertising content Google advertising content email campaigns WhatsApp campaigns SMS campaigns product launch campaigns promotional campaigns abandoned cart messages customer win back campaigns and social media content Example Create a campaign for our new womens lingerie collection AI should generate the campaign content and suggested audience strategy AI Analytics and Business Intelligence Build an AI powered business dashboard showing revenue orders average order value conversion rate customer acquisition cost CPA return on advertising spend product performance customer lifetime value repeat purchase rate cart abandonment marketing performance and inventory performance AI should explain the data in simple language Example Why did sales decrease this week AI should analyze the available data and provide possible reasons and recommended actions AI Customer Support Build an AI support system capable of handling order status shipping questions returns refunds product questions size guidance and frequently asked questions The system should use store product and order data and escalate complex conversations to human support AI Admin Copilot Create an AI assistant inside the merchant dashboard Example commands Show me my best selling products this month Create a fifteen percent discount campaign for products in the Luxe Collection Which products have low inventory Generate SEO descriptions for all products without descriptions Find customers who have not purchased in the last ninety days The AI should execute approved actions through platform APIs and tools instead of simply returning text Technology Stack Frontend Next JS React TypeScript Tailwind CSS Backend Node JS TypeScript Nest JS or equivalent architecture Database PostgreSQL Redis AI OpenAI or other leading LLM APIs Embeddings Vector database RAG AI agents Tool calling Infrastructure AWS Google Cloud Microsoft Azure Docker CI CD Monitoring and logging AI Architecture The developer should design a robust AI architecture supporting LLM orchestration RAG vector search tool calling structured outputs AI agents conversation memory prompt management AI usage tracking cost monitoring guardrails and human approval workflows AI should have controlled access to ecommerce APIs and databases Multi Tenant Architecture The platform should be designed as a multi tenant SaaS ecommerce system Each merchant should have a separate store products customers orders inventory marketing data AI configuration store settings and user permissions The architecture must be scalable secure and production ready Admin Dashboard Create a modern merchant dashboard with overview products orders customers inventory marketing AI assistant analytics campaigns discounts and settings Integrations Payment gateways Shipping providers Meta Ads Google Ads WhatsApp Email providers SMS providers Analytics platforms Shopify import and export Product feeds CRM systems Security Requirements Security is extremely important Implement secure authentication role based access control API authentication tenant isolation encryption secure payment integration rate limiting audit logs input validation secure secrets management and OWASP best practices Development Phases Phase One Architecture and MVP Technical architecture Database architecture Authentication Multi tenancy Ecommerce core Admin dashboard Product management Order management Customer management Phase Two AI Foundation AI infrastructure LLM integration Vector database RAG AI product content AI shopping assistant Phase Three AI Automation AI marketing AI recommendations AI customer support AI admin copilot Workflow automation Phase Four Analytics and Optimization Business intelligence AI insights Conversion analytics Customer segmentation Personalization Phase Five Production Performance optimization Security testing Automated testing CI CD Cloud deployment Monitoring Documentation Developer Requirements We are looking for someone with strong experience in AI application development LLM APIs AI agents RAG vector databases Node JS TypeScript React Next JS PostgreSQL REST APIs GraphQL APIs ecommerce architecture SaaS applications multi tenant applications cloud deployment and production software engineering Preferred Experience Experience with ecommerce platforms Shopify WooCommerce headless commerce AI shopping assistants recommendation engines AI automation marketing automation payment integrations and shipping integrations is highly preferred Important This is not a simple chatbot project We want to build an AI Native Ecommerce Operating System where AI is integrated into the core product and business workflows The developer should be comfortable making architectural decisions writing production quality code and taking ownership of the project from development through deployment Deliverables Complete source code Production ready application Frontend Backend Database AI services Admin dashboard Merchant dashboard API documentation Database documentation Deployment configuration Automated tests Technical documentation Production deployment To Apply Please provide your experience building AI applications Please provide examples of AI and ecommerce platforms you have developed Please explain your experience with LLMs RAG and AI agents Please provide your preferred technology architecture for this project Please provide links to relevant GitHub portfolio or work samples Please provide estimated development timeline Please provide estimated project cost or hourly rate Please provide your recommended team structure if more than one developer is required We are looking for a long term technical partner and not just a developer for a short term task