Generative Video Architect

• Video production is currently running on legacy code.
• For decades, performance marketing teams and B2B brands have been trapped in a bloated, human-heavy, and prohibitively expensive cycle. They pay massive monthly retainers to traditional agencies, wait weeks for a single 4K commercial, and miss crucial market windows.
• At NovaStudio, we are actively killing this model. We are an Agency as a Service (AaaS) platform replacing the traditional creative studio with a scalable API and a cloud-based AI visual engine. We generate commercial-grade, cinematic 1080P/4K video assets in hours, operating on a pure pay-per-second model. No friction, no retainers, just pure visual compute power.
• We have the vision and the initial engine. Now, we need a builder to help us scale the infrastructure.

• You will be working directly with the Founder to architect and optimize our proprietary Generative Video Infrastructure. You won't be editing videos; you will be writing the code that edits the videos.
• Your core objective is to transition fragmented AI models into a seamless, enterprise-grade production pipeline. You will focus heavily on workflow automation, complex API integrations, and engineering solutions to maintain absolute visual consistency across thousands of automated renders.

• The Ultimate UA Weapon: You will build a system that allows a User Acquisition (UA) manager to input a single strategy and instantly generate 50+ cinematic variations of a video ad, ready for A/B testing on Meta or TikTok, without ever picking up a camera.
• Automated Render Pipelines: Design robust backend workflows that take natural language prompts or raw product data and programmatically output fully rendered, color-graded 4K video frames.
• Cost-Efficiency Architecture: Optimize GPU compute allocation to ensure our pay-per-second generation model remains highly profitable while undercutting traditional agency costs by 90%.

• Design, deploy, and maintain automated AI generation workflows (utilizing advanced ComfyUI pipelines, custom LLM agents, and visual diffusion models).
• Build seamless API endpoints that connect our core visual engine to client-facing dashboards or external Ad-Tech platforms.
• Solve the Temporal Consistency problem in AI video—engineering solutions to ensure lighting, physics, and brand IP remain rock-solid across generated sequences.
• Monitor system health and optimize rendering speeds, treating video generation with the same rigorous latency standards as a high-frequency trading platform.

• You are a hacker at heart, deeply passionate about the intersection of Generative AI and automated business systems.
• Technical Stack: Strong proficiency in Python and Node.js. Experience deploying and managing cloud infrastructure (AWS/GCP/RunPod).
• AI Native: You have hands-on experience manipulating open-source visual models (Stable Diffusion, ControlNet, AnimateDiff) and are obsessed with pushing their limits beyond generic consumer outputs.
• Systems Thinker: You understand that AI is just a tool; the real value is in building the infrastructure and pipeline around it.
• Bonus Points: You have a background in Ad-Tech, Performance Marketing, or have previously built tools for B2B SaaS growth teams. You understand the pain of high CAC (Customer Acquisition Cost).

You will be getting in on the ground floor of an infrastructure that is actively disrupting a multi-billion dollar traditional industry. We operate with high autonomy, zero corporate bureaucracy, and a relentless focus on shipping tools that directly impact our clients bottom lines.

If you believe that the future of marketing creative is written in code, we want to talk to you.