Build Global AI-Powered Import–Export Intelligence SaaS (Full Stack + Data Engineering Experts Wanted)

“Data Integration” instead of “Scraping Protected Portals”

“ETL pipelines & automation” instead of “Bypass systems”

“Public + subscription APIs & connectors” instead of “Protected scraping”

“Scalable anonymized infrastructure” instead of “Stealth / rotation every second”

Freelancer.com Safe Job Post (10,000 characters)

Project Title:
Build Global AI-Powered Import–Export Intelligence SaaS (Full Stack + Data Engineering Experts Wanted)

Budget Range: ₹12,500 – ₹37,500 INR (with long-term role opportunities, milestone-based payments, and bonuses)
Bidding Closes In: 6 days, 20 hours

About the Project – TradeSphere Global

We are building TradeSphere Global, a next-generation Import–Export Intelligence SaaS Platform that will transform how businesses access, analyze, and act on global trade data.

Our mission is to integrate 200+ global trade data sources (official APIs, customs data, shipping feeds, marketplaces, contact intelligence providers, logistics platforms, etc.) into one powerful real-time dashboard for businesses.

With AI-driven analytics, buyer prediction models, and product-level intelligence, we aim to help importers/exporters identify opportunities instantly — starting with India (Morbi, Gujarat) and scaling globally.

Scope of Work

We are looking for Full-Stack Developers & Data Engineers who are experienced in:

1. Data Integration & Pipelines

Connecting with multiple APIs (REST, GraphQL, WebSocket).

Designing automated ETL workflows for structured/unstructured data.

Managing large datasets in near real-time.

Incorporating commodity codes (HS codes) into analytics pipelines.

2. Backend Engineering

Expertise in Python (FastAPI, Django/DRF) or Node.js (Express/NestJS).

Building microservices for modular scaling.

Strong knowledge of Redis, Celery, Kafka, RabbitMQ for queue systems.

Databases: PostgreSQL, MongoDB, Elasticsearch/Typesense.

3. Frontend Engineering

Building real-time dashboards with React.js / Next.js.

Using TypeScript, TailwindCSS, Shadcn/UI or Radix UI.

Data visualization with Chart.js, Recharts, ApexCharts, D3.js.

Creating responsive, mobile-first UIs.

4. AI & Analytics

Integrating AI/ML models for:
• Buyer prediction & demand forecasting
• HS code analytics
• Natural language summarization
• Contact enrichment insights

Familiarity with OpenAI, LangChain, HuggingFace, SpaCy or similar.

5. Cloud & Infrastructure

Deployment on AWS/GCP/Azure.

Containerization: Docker, Kubernetes.

CI/CD pipelines: GitHub Actions, GitLab CI.

Logging & Monitoring with Grafana, Prometheus, Sentry.

6. Security & Compliance

Role-based authentication & access control (OAuth2/Auth0/Firebase Auth).

Data privacy compliance (GDPR-friendly).

Audit logging and secure storage of sensitive trade insights.

Technology Stack We’re Considering

Frontend: React.js, Next.js, TypeScript, TailwindCSS, Framer Motion.

Backend: FastAPI, Django/DRF, Node.js.

Databases: PostgreSQL, MongoDB, Redis, Elasticsearch, Supabase.

Pipelines: Airflow, n8n, Huginn, APScheduler, Celery.

AI/ML: OpenAI GPT, HuggingFace Transformers, LangChain, LlamaIndex.

Cloud: AWS (EC2, Lambda, S3), GCP (Cloud Run, VertexAI), Vercel, Railway.

Expected Deliverables

MVP SaaS dashboard with 200+ integrated data sources.

Unified API layer for all internal & external communications.

Buyer/Supplier intelligence modules with enriched contact details (via legal or other way contact APIs like Apollo.io, Lusha, ZoomInfo, RocketReach, etc.).

AI-powered forecasting, prediction & matchmaking modules.

Alert/Notification system for commodity or buyer activity changes.

Enterprise-grade security for global scale.

What We Offer

100% Escrowed Payments (guaranteed security).

Performance Bonuses (delivery & innovation-based).

Fast Payments & premium developer rewards.

Long-Term Engagement (option to grow into CTO / Core Tech Lead).

High-Impact Global SaaS Project exposure.

How to Apply

If you’re interested, please share:

Your relevant experience (similar SaaS/data projects).

Your portfolio or GitHub showcasing projects.

Your preferred tech stack.

Your availability & estimated timeline for MVP delivery.

Your proposed rate (hourly/fixed milestone).

Why Join This Project?

This is a global-scale SaaS opportunity with the potential to impact trade ecosystems worldwide. You will be working on complex data problems, building solutions that combine AI, automation, and real-time intelligence.

For the right candidate, this is more than just a freelance role — it’s a chance to become a core team member with leadership opportunities.

Contact Information:
Prashant Patel
Email: bhimani-prashant-10-@-gmail-.-com
Telegram: @Prashantbhimani

Note: NDA (Non-Disclosure Agreement) will be required to access detailed project documents & datasets.