Job Description:
We are looking for an experienced AI Automation Engineer to build a proprietary "Creative Engine" for a high-volume e-commerce project. This isn't just about "generating images"—it’s about creating a self-optimizing closed-loop system that generates, tests, and iterates ad creatives based on real performance data.
The Workflow You Will Build:
Input Phase: System ingests "winning angles," customer avatars and product assets.
Generation Phase: produce 50+ unique static and video (UGC-style).
Deployment & Integration: push creatives to Facebook Ads Manager with specific tracking tags.
The Feedback Loop: Integration with Facebook Marketing API to pull performance metrics (CTR, ROAS, CPC).
Autonomous Iteration: The AI must identify high-performing creatives and automatically generate 20 new variations of that specific winner without manual input.
Technical Requirements:
Experience with n8n or Make.com
Hands-on experience with Generative AI APIs.
Knowledge of Computer Vision (to help the AI "understand" what’s in the image) is a huge plus.
To be considered, you must provide:
Relevant Case Studies: Examples of automated ad-tech systems or AI workflows you have built.
Tools: A brief description of tools that you use for creative generation.
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