AI Engineer (Agentic AI & Video Processing)
- Anywhere in the World
Headquarters: UK
URL: https://www.vidrush.ai/
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
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Design and deploy LLM and CV models using AWS Batch, Fargate, Lambda, SageMaker, and Bedrock for scalable and low-latency inference.
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Implement multi-GPU distributed training and serverless AI inference architectures.
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Orchestrate multi-agent workflows using LangChain, LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, and Agent OS frameworks.
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Develop advanced video and image processing pipelines (detection, tracking, generative AI).
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Build intelligent AI agent communication protocols for distributed task automation.
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Apply MLOps / LLMOps best practices for production-ready pipelines.
Qualifications
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5+ years experience in AI/ML engineering with strong proficiency in Python.
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Proven track record of cloud-native AI deployments (AWS Batch/Fargate/Lambda).
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Expertise in Agent Orchestration frameworks (LangGraph, AutoGen, CrewAI, OpenAI Agents SDK).
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Strong knowledge of computer vision & generative AI (PyTorch, TensorFlow, CUDA).
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Experience with vectordatabases (FAISS, Milvus, Weaviate), Advanced RAG/GraphRAG, and knowledge graphs.
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Skilled in workflow automation, distributed inference, and AI systems architecture.
Nice to Have
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Multi-cloud exposure (GCP Vertex AI, Azure AI).
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Experience in Reinforcement Learning, context engineering, and advanced prompt design.
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Domain experience in fintech, healthcare, aviation, or energy.
To apply: https://weworkremotely.com/remote-jobs/vidrush-ai-engineer-agentic-ai-video-processing