Senior Python Backend Engineer – AI, Agents

🕒 March 25

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

VidRush

WebsiteLinkedInAll Job Openings

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