AI Engineer (Agentic AI & Video Processing)

Vidrush is building the 'lovable' way to produce videos with AI — turning a single prompt and a few assets into a polished, publish-ready edit. As an AI Engineer, you will be responsible for building intelligent multi-agent systems and deploying scalable AI video/image solutions on cloud-native infrastructures.

Key Responsibilities

• Design and deploy LLM and CV models using AWS Batch, Fargate, Lambda, SageMaker, and Bedrock for scalable and low-latency inference
• 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 AI agent communication protocols for distributed task automation
• Apply MLOps/LLMOps best practices for production-ready pipelines
• Implement multi-GPU distributed training and serverless AI inference architectures

Required 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 vector databases (FAISS, Milvus, Weaviate), Advanced RAG/GraphRAG, and knowledge graphs
• Workflow automation, distributed inference, and AI systems architecture skills

Nice-to-Have: Multi-cloud exposure (GCP Vertex AI, Azure AI), reinforcement learning, domain experience in fintech/healthcare/aviation/energy.

Location: UK HQ, fully remote — open to candidates from 190+ countries worldwide including all of Europe.

The company is remote-first with team members across Europe and Asia.