Headquarters: UK
URL: https://www.vidrush.ai/
We’re looking for a extremely expert AI Engineer with deep experience in Agentic AI, LLM deployment, and pc imaginative and prescient pipelines. You’ll be accountable for constructing clever multi-agent techniques and deploying scalable AI video/picture options on cloud-native infrastructures. This function focuses on agent orchestration, AI mannequin deployment, and end-to-end video intelligence pipelines for our AI Video Software.
Duties
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Design and deploy LLM and CV fashions utilizing AWS Batch, Fargate, Lambda, SageMaker, and Bedrock for scalable and low-latency inference.
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Implement multi-GPU distributed coaching and serverless AI inference architectures.
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Orchestrate multi-agent workflows utilizing LangChain, LangGraph, AutoGen, CrewAI, OpenAI Brokers SDK, and Agent OS frameworks.
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Develop superior video and picture processing pipelines (detection, monitoring, generative AI).
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Construct clever AI agent communication protocols for distributed activity automation.
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Apply MLOps / LLMOps greatest practices for production-ready pipelines.
{Qualifications}
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5+ years expertise in AI/ML engineering with robust proficiency in Python.
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Confirmed monitor file of cloud-native AI deployments (AWS Batch/Fargate/Lambda).
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Experience in Agent Orchestration frameworks (LangGraph, AutoGen, CrewAI, OpenAI Brokers SDK).
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Robust information of pc imaginative and prescient & generative AI (PyTorch, TensorFlow, CUDA).
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Expertise with vectordatabases (FAISS, Milvus, Weaviate), Superior RAG/GraphRAG, and information graphs.
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Expert in workflow automation, distributed inference, and AI techniques structure.
Good to Have
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Multi-cloud publicity (GCP Vertex AI, Azure AI).
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Expertise in Reinforcement Studying, context engineering, and superior immediate design.
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Area expertise in fintech, healthcare, aviation, or power.
To use: https://weworkremotely.com/remote-jobs/vidrush-ai-engineer-agentic-ai-video-processing
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