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Jobs/Backend Engineer Role/VIDRUSH AI STUDIOS LLP - Senior Python Backend Engineer (AI / Agents)
VIDRUSH AI STUDIOS LLP

VIDRUSH AI STUDIOS LLP - Senior Python Backend Engineer (AI / Agents)

United Kingdom1mo ago
In OfficeSeniorEMEACloud ComputingArtificial IntelligenceBackend EngineerPythonVectorMLOps

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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 • 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) • 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 • Location preference

Responsibilities

• 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

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