Full-Stack Developer (AI-Driven Data Reporting System)

Full-Stack Developer (AI-Driven Data Reporting System)
Our website is a knowledge platform that provides academic insights through video content from leading universities and institutions worldwide. We are expanding our platform by developing an AI-driven interactive reporting system to offer users real-time, personalized insights across various fields such as political science, law, and economics.

We are seeking a Full-Stack Developer to lead the development of this AI-Driven Data Reporting System. This platform will deliver interactive, web-based reports that incorporate our existing video content, data from external sources like the IMF, and AI-powered insights.

Key Responsibilities
As the lead developer for this project, you will:

Backend Development:
Design and build a robust Flask/FastAPI backend to handle API queries and data retrieval from external sources like the IMF.
Implement OpenAI API integration to provide AI-driven summaries, insights, and contextual recommendations.
Create and manage a PostgreSQL or MySQL database to store structured data, video transcripts, and metadata.
Ensure secure API endpoints for dynamic content retrieval.

Frontend Development:
Develop an interactive reporting interface using modern frameworks like React.js or Next.js.
Build a three-column layout that dynamically updates based on user inputs:
Column 1: AI-powered search and results.
Column 2: Suggested experts and videos from our content library.
Column 3: Related reports, papers, and real-time data insights.

Data Integration:

Automate the retrieval of real-time data from APIs such as the IMF, World Bank, and other relevant sources.
Integrate our video content and transcripts into reports to provide deeper insights.
Implement dynamic link embedding to pull relevant video links from our sitemap.xml.

Interactive Features:

Implement dynamic, scenario-based modeling where users can adjust variables and explore outcomes in real-time.
Build a conversational input box for users to ask follow-up questions and receive contextual AI-driven answers.
Deployment and Hosting:

Containerize the application using Docker.
Deploy the solution on Railway.app or similar managed hosting platforms.
Ensure secure HTTPS integration using Cloudflare.
Required Skills & Experience
Technical Skills
Backend: Python (Flask/FastAPI), PostgreSQL/MySQL, RESTful API design.
Frontend: React.js, Next.js, HTML, CSS, JavaScript/TypeScript.
AI Integration: OpenAI API, Whisper API (optional).
Data Integration: Experience with real-time data APIs (IMF, World Bank, etc.).
DevOps: Docker, Railway.app, Google Cloud Run, Cloudflare SSL.

Nice-to-Have Skills
Experience with AI-powered content summarization.
Familiarity with video processing APIs like VimeoAPI.
Knowledge of content management systems (WordPress).