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Job Title


Full-Stack Video Engineer – AdCut Platform


Company : powersmy.biz


Location : Agra, Uttar Pradesh


Created : 2025-07-23


Job Type : Full Time


Job Description

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