AI Engineer (Agentic AI & Video Processing) at Vidrush

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.