Job Description: Senior Full-Stack Developer / Team for AI-Powered Tourism E-commerce Platform
Project Overview
Alphakrew is building a scalable digital tourism entrepreneurship platform that will evolve into an AI-powered ecosystem.
This engagement will begin with a strictly defined MVP Digital E-Store (Phase 1), followed by advanced platform and AI features in later phases.
The goal is to validate the business model quickly, enable real transactions, and then scale into a full-featured platform.
Project Budget & Timeline
Total Project Budget: ₹4,50,000 INR
Overall Timeline: 3–4 months
Phase 1 (MVP Digital E-Store): 20 days
Core MVP delivery target: 7 days
Remaining phases to be completed progressively within 3–4 months
Phase 1: MVP Digital E-Store (CRITICAL PHASE)
Objective
Launch a basic, stable, production-ready digital e-store.
⚠️ Important:
This is NOT a full platform
This is NOT an AI system
This MVP must be clean, secure, and scalable, serving as the foundation for later phases
Phase 1 Goals
Validate the business model
Enable real customer transactions
Establish a solid technical base for future AI and automation layers
2.1 Phase 1 – What Will Be Delivered
User & Access
User registration and login
Secure authentication
Basic user dashboard
Admin and customer role separation
E-Commerce
Digital product listing
Product detail pages
Shopping cart & checkout
Single payment gateway integration
Order confirmation & automated invoice generation
Digital Content Delivery
Secure delivery of purchased digital files
Controlled access (only logged-in purchasers)
Manual upload of digital content by admin
Admin Capabilities
Add and edit products
Upload digital files
View orders and user data
UI / Frontend
Web-based application
Fully mobile-responsive UI
Clean, simple, and usable design
No custom animations or advanced UX flows in Phase 1
Post Phase-1 (Remaining Phases – 3 to 4 Months)
After successful MVP delivery, the project will scale into:
Subscription management
Advanced CMS & content bundling
AI-powered recommendations & search
Analytics dashboards
Consultation booking system
Affiliate portal
Marketplace & community features
Performance optimization & automation
Technical Expectations
Clean, scalable architecture
Secure authentication & payment handling
Modular codebase for future AI integrations
Cloud-ready deployment
Clear documentation & handover
Preferred (Flexible) Stack
Frontend: React / Next.js / Vue
Backend: Node.js / Python
Database: PostgreSQL / MongoDB
Payments: Razorpay / Stripe / UPI
Cloud: AWS / GCP / Azure
Who Should Apply
Senior full-stack developers or small teams
Experience building e-commerce or SaaS MVPs
Comfortable delivering fast, clean MVPs
Strong understanding of scalability & security
Able to meet tight Phase-1 timelines
Engagement Model
Fixed-price project
Phase-wise milestones
Long-term opportunity for ongoing development & maintenance
How to Apply
Please include:
Relevant e-commerce or SaaS MVP projects
Your recommended tech stack
Confirmation you can deliver Phase 1 within 20 days
Team size (if applicable)
Any suggestions to improve MVP scalability
✅ Note to Applicants
This project prioritizes:
Speed + stability
Clean MVP delivery
Long-term partnership potential
You can also refer from below FRD
Functional Requirements Document (FRD)
Tourism Entrepreneurship & Projects (Alphakrew)
1. System Overview
1.1 Platform Architecture
The Alphakrew platform will be an AI-powered e-commerce system that provides seamless access to business resources, educational content, and support services for tourism entrepreneurs.
2. Core Functional Requirements
2.1 E-commerce & Portal Functionality & Capabilities
User Management System:
• User registration and profile management
• Role-based access control (Blog/New Letter writers, content creators and administrators)
• Account verification and authentication
• User dashboard with personalized recommendations
• Responsive Interface: The portal must be fully Web and Mobile Responsive.
• Multilingual Support: Initial support for English and Hindi, with a framework to add regional languages in later phases.
Content Delivery System:
• Searchable catalog of business plans and project reports
• Advanced filtering and categorization options
• Preview functionality for content assessment
• Download and access management
• Report Bundles: Each purchase must deliver a package containing a Detailed Project Report (DPR), Audio Summary, Short Video Presentation, and PowerPoint Presentation.
2.2 AI-Powered Features
Recommendation Engine:
• Personalized content suggestions based on user profile
• Industry trend analysis and insights
• Business opportunity identification
• Market research automation
Intelligent Search:
• Natural language processing for content discovery
• Semantic search capabilities
• Auto-complete and suggestion features
• Advanced query filtering
AI & Automation Requirements
• Funnel Management: AI agents must handle end-to-end digital marketing and ...