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We are looking for an experienced AI engineer to build a next-generation Vision-Language Model (VLM) powered browser agent for automated data extraction across multiple truck rental platforms. The goal is to develop a UX-agnostic, self-healing AI agent capable of navigating and extracting pricing and availability data from sites like U-Haul, Penske, and Budget Truck Rental without relying on static selectors. This is a project-based freelance role requiring a systems-thinking approach.

Location: Remote
Project Budget: ₹40,000 – ₹50,000 (project-based, depends on experience)
Timeline: 2–4 weeks

• Build agent for at least 3 rental platforms
• Deliver clean, validated data pipeline
• Ensure robustness against UI changes
• Provide logs and debugging tools

• Zero selector dependency (no hardcoded CSS/XPath)
• Vision-based navigation using VLMs (e.g., GPT-4o / Gemini)
• Self-healing agent loop (observe → plan → act → re-plan)
• Structured JSON output with strict schema validation
• Anti-bot resilience (stealth browser automation)
• Error logging with visual trace (screenshots + logs)
• Caching layer for LLM cost optimization

Tech Stack (Preferred):

• Python + Playwright
• Vision models (GPT-4o / Gemini)
• LangChain / AutoGen (or similar agent frameworks)
• Redis (caching)
• FastAPI (backend)

How to Apply: Interested candidates should send a Direct Message (DM) on Reddit to the original poster and share:

• Relevant projects (AI agents / scraping / automation)
• Tech stack you've used
• Brief approach on how you'd build this system

Original Post: 🚀 Hiring: AI Engineer (VLM / Autonomous Browser Agents)

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