AI Video Generation
Senior Python Backend Engineer (AI / Agents)
Originally published by VidRush through its Ashby careers source. Applications go to the employer's website, and AIMovieJobs is not the hiring employer.
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Role overview
We’re building a new way to create video that feels more like writing than editing, and we’re already seeing strong traction from serious creators and media teams. If you’re excited about AI, creator tools, and building category-defining products from first principles, you’ll fit right in. We’re hiring a Senior Python Backend Engineer (AI Agents) to help build and scale Vidrush’s AI-driven media pipeline. What You’ll DoBuild agentic systems that can reason, plan, and execute multi-step tasks reliablyDesign 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 infrastructureApply MLOps / LLMOps best practices: observab
What you'll do
- 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
What the employer is looking for
- 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
Preferred qualifications
- Agent orchestration frameworks (LangGraph, LangChain, AutoGen, CrewAI, etc.)
- Experience with vector search / embeddings / retrieval systems
- Experience with workflow orchestration (queues, batch jobs, event-driven systems)
- Experience with PyTorch and GPU inference optimization
- Experience working on media-heavy products (video editing, video generation, large file pipelines)