Facebook Messenger AI Agent – Meta Integration & AWS Deployment (Python + React)

Here is the revised version with a clear and professional disclaimer added — firm, but not aggressive: --- ## Facebook Messenger AI Agent – Meta Integration & AWS Deployment (Python + React) We have completed a Proof of Concept and are now preparing for production go-live. We are looking for an experienced developer to help us finalise Meta integration and deploy the system to AWS under tight time constraints. --- ### ⚠️ Industry Disclaimer This project operates within the **adult entertainment industry**. If you are uncomfortable working in this industry, or if your personal, religious, or ethical beliefs prevent you from participating in such projects, **please do not apply**. We respect individual boundaries and want to ensure alignment before engagement. --- ## Current Stack * **Backend:** Python (production-ready logic implemented) * **Frontend Admin Dashboard:** Vite + React * **AI Model Integration:** Already implemented * **Core Conversation Logic:** Complete * **Database & APIs:** Built and tested locally The remaining work is primarily infrastructure, Meta configuration, and deployment. --- ## Scope of Work ### 1. Meta (Facebook Messenger) Integration * Configure and finalise Facebook App setup * Configure Messenger webhooks (verify + subscribe) * Implement production-ready webhook endpoints * Connect Messenger send/receive APIs * Handle media delivery (images/videos via Messenger) * Ensure compliance with 24-hour messaging policy * Validate user profile retrieval via Graph API * Assist with App Review process if required --- ### 2. AWS Deployment * Deploy Python backend to AWS (EC2 / ECS / or appropriate architecture) * Configure environment variables and secrets securely * Set up HTTPS (SSL) * Configure load balancing if needed * Set up database in production (RDS or equivalent) * Configure storage for media delivery (likely S3 + CDN) * Deploy Vite React admin dashboard * Domain configuration + DNS * Basic monitoring/logging setup * Ensure webhook endpoints are publicly accessible and stable --- ### 3. Production Readiness * Ensure webhook reliability * Validate event ingestion endpoints * Test full message flow end-to-end * Confirm Messenger response formatting * Ensure system handles concurrency safely * Basic performance optimisation for go-live --- ## Project Context This system: * Receives inbound messages from Facebook ads * Uses AI to respond conversationally * Sends images and videos dynamically * Tracks user events via API * Stores conversation history * Provides retrieval APIs Core functionality is already built — we need someone strong in: * Meta / Facebook Graph API * Messenger Webhooks * Python backend deployment * AWS infrastructure * Production hardening * Fast execution --- ## Requirements * Proven experience deploying Python backends to AWS * Strong experience with Meta / Facebook Messenger APIs * Experience handling webhook-based systems * Comfortable working with an existing codebase * Available immediately * Able to work under tight timelines --- ## Nice to Have * Experience deploying AI-powered applications * Experience with high-volume messaging systems * Familiarity with S3/CDN media pipelines * DevOps background --- ## Timeline Immediate start required. Goal is production deployment as soon as possible. --- If you apply, please include: * Examples of Messenger API projects you've deployed * Your preferred AWS architecture for this type of system * Availability over the next week We are looking for someone reliable, fast, and experienced in production deployments — this is a final-stage execution project, not a greenfield build. Looking forward to working with the right candidate.

Projektin tunnus (ID): 40242244