we are seeking a lead ai & deep learning engineer to connect classic ml/deep learning with agentic ai patterns for real-time live-stream workflows. You will deliver production-ready agentic systems for content scanning, tagging, audio/visual classification, and contextual ad insertion, while designing event-driven microservices over websockets with vector search/opensearch and weights & biases evaluation.

design and deploy advanced agentic ai frameworks, including context management, mcp over websockets, and event-driven architectures for autonomous enterprise workflows build and fine-tune traditional ml and deep learning models for classification, ocr (optical character recognition), and audio spectrogram analysis architect and optimize high-performance search and retrieval systems using opensearch / elasticsearch and vector databases implement rigorous evaluation pipelines in weights & biases (or equivalent ml/llmops tools) to validate new model versions against evals before production switching collaborate in a fast-paced, experimental kanban setup with daily discussions, technical reviews, and rapid prototyping deliver robust autonomous agentic workflows over websockets that handle content scanning and live streaming tagging without hallucinations integrate high-accuracy classification, ocr,



and audio processing models into production mural and mural live pipelines maintain comprehensive evaluation and observability dashboards in weights & biases governing model updates and agentic tool calls proven track record with 5+ years of software engineering experience spanning traditional machine learning/deep learning (classification, ocr, computer vision/audio) and modern agentic ai workflows demonstrated experience building stateful, event-driven microservices and agentic frameworks (mcp, websockets, tool-call orchestration) hands-on experience with search and vector database infrastructure (opensearch / elasticsearch) strong experience with model evaluation, tracking, and experimentation tools (weights & biases) high proficiency in python & fastapi backend development deep understanding of agentic ai frameworks such as langchain, llamaindex, or custom agents english proficiency at b2 level or higher experience with fine-tuning, distillation, and quantization of open-source models domain background in media & entertainment (broadcast video supply chain, peacock / live streaming architecture) familiarity with go / grpc microservices knowledge of terraform & aws cloud infrastructure

📌 Lead ai & deep learning engineer (Xico)
🏢 Epam Systems
📍 Xico