VidRush
11 - 50 employees
Founded 2025
🤖 Artificial Intelligence
📱 Media
☁️ SaaS
Artificial Intelligence • Media • SaaS
VidRush is an AI-powered video production platform that transforms ideas into long-form videos by researching, scripting, designing, and editing content with automated AI agents that mimic a full human production team. It generates videos from a single prompt in minutes, supports multiple formats (documentaries, listicles, long-form content), offers script approval, style-matching, asset management, and integrates with leading platforms to streamline YouTube and other channel workflows. VidRush is marketed to creators and channels seeking high-quality, scalable video production without traditional studio timelines.
Senior Python Backend Engineer – AI, Agents
🕒 March 25
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VidRush
11 - 50 employees
Founded 2025
🤖 Artificial Intelligence
📱 Media
☁️ SaaS
Artificial Intelligence • Media • SaaS
VidRush is an AI-powered video production platform that transforms ideas into long-form videos by researching, scripting, designing, and editing content with automated AI agents that mimic a full human production team. It generates videos from a single prompt in minutes, supports multiple formats (documentaries, listicles, long-form content), offers script approval, style-matching, asset management, and integrates with leading platforms to streamline YouTube and other channel workflows. VidRush is marketed to creators and channels seeking high-quality, scalable video production without traditional studio timelines.
📋 Description
• Build agentic systems that can reason, plan, and execute multi-step tasks reliably • Design and deploy LLM-based services (tool use, structured outputs, evals, monitoring) • Develop video/image intelligence pipelines (retrieval, matching, classification, metadata extraction, generative augmentation) • Integrate existing APIs and tools when appropriate (strong build-vs-buy judgment) • Ship scalable inference pipelines on cloud infrastructure • Apply MLOps / LLMOps best practices: observability, testing, evals, versioning, cost control • Work closely with founders and product to iterate quickly based on user feedback
🎯 Requirements
• Strong Python engineering skills and proven ability to ship production systems • Experience building with LLMs (OpenAI-style APIs, tool calling, RAG, structured generation) • Experience deploying ML/LLM services in production (cloud, containers, serverless, async pipelines) • Practical understanding of video/image processing (CV or media pipelines) • High autonomy: you can take vague problems and turn them into shipped solutions • Strong engineering fundamentals: clean code, reliability, performance, and cost awareness
🏖️ Benefits
• Small team, high trust, high ownership • Bias to action and shipping • Lightweight specs, fast iteration • Strong focus on developer experience, testing where it matters, and observability
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