Remote Jobs - Vidrush: AI Engineer (Agentic AI & Video Processing)

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Vidrush: AI Engineer (Agentic AI & Video Processing)

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Headquarters: UK
URL: VidRush - Welcome

We are seeking a highly skilled AI Engineer with deep expertise in Agentic AI, LLM deployment, and computer vision pipelines. You will be responsible for building intelligent multi-agent systems and deploying scalable AI video/image solutions on cloud-native infrastructures. This role focuses on agent orchestration, AI model deployment, and end-to-end video intelligence pipelines for our AI Video Tool.

Responsibilities​


  • Design and deploy LLM and CV models using AWS Batch, Fargate, Lambda, SageMaker, and Bedrock for scalable and low-latency inference.



  • Implement multi-GPU distributed training and serverless AI inference architectures.



  • Orchestrate multi-agent workflows using LangChain, LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, and Agent OS frameworks.



  • Develop advanced video and image processing pipelines (detection, tracking, generative AI).



  • Build intelligent AI agent communication protocols for distributed task automation.



  • Apply MLOps / LLMOps best practices for production-ready pipelines.

Qualifications​


  • 5+ years experience in AI/ML engineering with strong proficiency in Python.



  • Proven track record of cloud-native AI deployments (AWS Batch/Fargate/Lambda).



  • Expertise in Agent Orchestration frameworks (LangGraph, AutoGen, CrewAI, OpenAI Agents SDK).



  • Strong knowledge of computer vision & generative AI (PyTorch, TensorFlow, CUDA).



  • Experience with vectordatabases (FAISS, Milvus, Weaviate), Advanced RAG/GraphRAG, and knowledge graphs.



  • Skilled in workflow automation, distributed inference, and AI systems architecture.

Nice to Have​


  • Multi-cloud exposure (GCP Vertex AI, Azure AI).



  • Experience in Reinforcement Learning, context engineering, and advanced prompt design.



  • Domain experience in fintech, healthcare, aviation, or energy.



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