Senior AI & Deep Learning Engineer

We are looking for a Senior AI & Deep Learning Engineer who bridges the gap between traditional machine learning / deep learning and advanced agentic AI workflows. In the MURAL & MURAL LIVE teams, you will build production-grade agentic systems that power real-time content scanning, tagging, audio/visual classification, and contextual ad insertion for live streaming feeds (such as Peacock). You will architect event-driven microservices communicating over WebSockets, integrate vector search/OpenSearch, and enforce rigorous evaluation using Weights & Biases. Responsibilities Develop and deploy advanced agentic AI frameworks (context management, MCP over WebSockets, 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 using Weights & Biases (or equivalent ML/LLMOps tools) to validate new model versions against evals before production switching Collaborate in a fast-paced, experimental Kanban environment with constant daily discussions, technical reviews, and rapid prototyping Deliver robust, autonomous agentic workflows running over WebSockets that successfully handle content scanning and live streaming tagging without hallucinations Integrate high-accuracy classification, OCR, and audio processing models seamlessly into production MURAL and MURAL LIVE pipelines Maintain comprehensive evaluation and observability dashboards (Weights & Biases) governing all model updates and agentic tool calls Requirements 3+ years of software engineering experience with a hybrid background in traditional machine learning/deep learning (classification, OCR, computer vision/audio) and modern agentic AI workflows Proven 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) Proficiency in Python & FastAPI backend development Expertise in agentic AI frameworks such as LangChain, LlamaIndex, or custom agents English proficiency at B2 level or higher Nice to have Skills in fine-tuning, distillation, and quantization of open-source models Background in media & entertainment domain expertise (broadcast video supply chain, Peacock / live streaming architecture) Familiarity with Go / gRPC microservices Knowledge of Terraform & AWS Cloud infrastructure