Backend & Automation Engineer needed for AI-Agent MVP (Playwright + LLM)

Core Tech Stack & Requirements • Web Automation: Expert-level proficiency with Playwright or Puppeteer (Python or Node.js). • Bot Mitigation Bypassing: Proven experience bypassing advanced anti-scraping and bot-detection systems (e.g., Cloudflare, Akamai) using stealth plugins, residential proxy management (Bright Data/Oxylabs), and browser fingerprinting. • AI Integration: Experience with LLM tool-calling/function-calling interfaces (OpenAI API / Anthropic API) and vision models for structured data extraction. • Backend & Queues: Experience building robust asynchronous task worker systems (e.g., Redis, Celery, BullMQ) to handle long-running browser automation tasks outside the main request loop. Scope of Work (Phase 1 MVP) 1. Set up an API endpoint that receives an incoming webhook payload (simulating an inbox message with text and an image URL). 2. Pass the payload to a Vision/Text LLM to output a clean, structured JSON object of user intent. 3. Trigger a headless browser script that logs into a specified web platform, searches for the item based on the JSON criteria, and adds the target item to the shopping cart. 4. Navigate to the checkout screen and generate a secure checkout/payment callback link to send back to the user.