AI Video Pipeline Engineer (n8n / Make) - Automated Short-Form Content (Reels, TikTok, Shorts)

🛑 CRITICAL: Do not apply to this post unless you have built active, multi-stage automated pipelines that generate short-form videos from scratch using n8n or Make.com. We are scaling a high-volume media machine and need a top-tier Automation Engineer & Generative AI Architect. Your core mission is to eliminate manual work by building seamless, programmatic workflows that output high-conversion, visually stunning vertical videos (under 60 seconds). You must have master-level technical control over: 🔹 Script & Audio Pipelines: OpenAI/Anthropic APIs, ElevenLabs, or advanced TTS tools. 🔹 Visual Asset Engines: Advanced image and video generation tools (Midjourney, Flux, Kling, Luma Dream Machine, Runway Gen-3, Hailuo). 🔹 Media Post-Production: Using programmatic video editing tools or code (FFmpeg, Shotstack, Plainly, etc.) to stitch clips, overlays, and audio. We have a foundational architecture, but we need you to engineer the scaling infrastructure. You will connect AI agents, direct API nodes, handle rate limits, and build robust error-handling into our production loops. What You'll Be Doing 🔹 Designing, building, and maintaining advanced n8n/Make automation workflows for automated asset creation. 🔹 Developing systemic prompt frameworks to ensure high-fidelity, consistent aesthetic outputs from video/image models. 🔹 Orchestrating multi-agent architectures that handle research, copywriting, asset generation, and rendering. 🔹 Utilizing FFmpeg or cloud-video APIs to merge audio tracks, video clips, captions, and transitions automatically. 🔹 Implementing conditional logic and webhooks to trigger, monitor, and schedule bulk content generation. 🛑 RIGOROUS APPLICATION PROCESS — READ BEFORE APPLYING Generic templates, AI-generated cover letters, or profiles without specific portfolio proof will be rejected instantly. To be considered for an interview, you must answer the following three questions: 1️⃣ Show Us Your Infrastructure: Share a link to a brief screen-share video (Loom) or a clear screenshot mapping out an intricate media-generation workflow you built in n8n or Make. 2️⃣ Show Us The Final Product: Provide exactly two links to live, finalized short-form videos that were generated completely by your automated system. 3️⃣ Explain Your Prompting Engineering: How do you bypass the common "AI-morphing" or consistency issues when generating sequential video clips using APIs like Kling or Runway? What specific parameters do you inject into your API calls to maintain style? We are looking to hire a dedicated expert immediately. If you have the technical chops to build zero-friction media pipelines, apply today.