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:

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## 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.

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### ⚠️ 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.

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## 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.

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## 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

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### 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

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### 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

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## 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

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## 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

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## Nice to Have

* Experience deploying AI-powered applications
* Experience with high-volume messaging systems
* Familiarity with S3/CDN media pipelines
* DevOps background

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## Timeline

Immediate start required.
Goal is production deployment as soon as possible.

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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.