Full-Stack Video Engineer – AdCut Platform

3 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Location: Remote | Type: Full-Time | Experience: 3+ Years | Salary: 5-8 LPA (negotiable) + ESOPs + Performance based incentives


About Us

At Val Cut AI, we’re building the future of autonomous performance advertising. At the heart of our mission is AdCut – a next-generation AI-powered video editing platform designed to rival the best, like CapCut, but supercharged with intelligent automation and creative assistance.


This is your chance to be a founding tech leader in a high-impact role, owning the complete engineering stack of a groundbreaking video editor. From UX to backend rendering to AI magic – this is where creativity meets cutting-edge code.


What You’ll Be Building

As the Full-Stack Video Engineer, you’ll architect and develop a web-based professional video editor with seamless AI integrations, high-performance rendering, and real-time responsiveness.


Core Features You’ll Build:

• Modern Video Editor Interface:

Multi-track timeline, drag-and-drop media, real-time preview, precise frame scrubbing, advanced editing tools.

• AI-Powered Creativity:

Auto-captions, AI-generated B-rolls, smart edits, scene analysis, synthetic avatars, voiceovers, and more.

• High-Performance Pipeline:

Support for 4K rendering, FFmpeg pipelines, chunked uploads, streaming previews, optimized cloud exports.

• Deep Integrations:

Plug into stock media libraries, AI video intelligence APIs (e.g., Twelve Labs), and cloud-based rendering tools.


Our Tech Stack

• Frontend: React, TypeScript, Remotion, Canvas API, WebGL

• Backend: Node.js, FFmpeg, Redis, AWS S3

• AI/ML: OpenAI, Stability AI, HeyGen, Twelve Labs

• Infrastructure: Docker, AWS, CDN, scalable real-time video processing


Strongly Preferred Experience

• Built or contributed to video editing/creator tools.

• WebGL/Canvas API experience for animations and effects.

• Performance optimization for real-time media rendering.

• AI/ML model integration (e.g., auto-captioning, face recognition).

• Worked with synthetic media (avatars, voice synthesis).

• Prior experience in creator economy, content platforms, or media tooling.


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