AI Automation Engineer: Build a "Creative Factory" Pipeline for E-commerce Ads
Overview: I am an expert Media Buyer looking for a technical partner to build a high-scale Agentic Content Production Pipeline. I have the strategy and the ad spend; I need you to build the "Machine" that produces thousands of high-converting creative variations autonomously.
The Goal: Create a closed-loop system where I can input a single product URL or "Winning Angle," and the system automatically generates dozens of videos and images (hooks, body, CTAs) and organizes them for testing.
Key Responsibilities:
Workflow Architecture: Build a multi-stage pipeline using Make.com, n8n, or Python.
API Integration: Connect Generative AI tools like Runway (Gen-3/4), Kling, HeyGen/Synthesia, Midjourney, and ElevenLabs.
Creative "Remixing": Build logic that takes a "Winning Hook" and automatically pairs it with 10 different "Body" variations and 5 "Call to Actions."
Data Feedback Loop: (Phase 2) Integrate with Meta/Google Ads APIs to pull performance data (ROAS/CTR) and feed it back into an LLM to generate improved scripts for the next batch.
Technical Requirements:
Proven experience with Make.com or n8n (complex logic, not just simple zaps).
Deep familiarity with AI Video/Image APIs (Runway, Leonardo, OpenAI, etc.).
Experience with JSON and handling data structures between different media tools.
Bonus: Experience with the Meta Marketing API or building "AI-in-the-loop" ad-tech systems.
To Apply, please answer:
Describe a complex AI workflow you have built that involves more than 3 different tools/APIs.
How would you approach "swapping" a background in a product video at scale using only AI APIs?
What is your favorite tool for handling "Human-in-the-loop" approvals before an asset is finalized?
Apply Now
Apply Now
The Goal: Create a closed-loop system where I can input a single product URL or "Winning Angle," and the system automatically generates dozens of videos and images (hooks, body, CTAs) and organizes them for testing.
Key Responsibilities:
Workflow Architecture: Build a multi-stage pipeline using Make.com, n8n, or Python.
API Integration: Connect Generative AI tools like Runway (Gen-3/4), Kling, HeyGen/Synthesia, Midjourney, and ElevenLabs.
Creative "Remixing": Build logic that takes a "Winning Hook" and automatically pairs it with 10 different "Body" variations and 5 "Call to Actions."
Data Feedback Loop: (Phase 2) Integrate with Meta/Google Ads APIs to pull performance data (ROAS/CTR) and feed it back into an LLM to generate improved scripts for the next batch.
Technical Requirements:
Proven experience with Make.com or n8n (complex logic, not just simple zaps).
Deep familiarity with AI Video/Image APIs (Runway, Leonardo, OpenAI, etc.).
Experience with JSON and handling data structures between different media tools.
Bonus: Experience with the Meta Marketing API or building "AI-in-the-loop" ad-tech systems.
To Apply, please answer:
Describe a complex AI workflow you have built that involves more than 3 different tools/APIs.
How would you approach "swapping" a background in a product video at scale using only AI APIs?
What is your favorite tool for handling "Human-in-the-loop" approvals before an asset is finalized?
Apply Now
Apply Now