Lead AI & Deep Learning Engineer

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 Web.

Sockets with vector search/Open. Search and Weights & Biases evaluation.

Responsibilities

Design and deploy advanced agentic AI frameworks, including context management, MCP over Web. Sockets, 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 Open.

Search / 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 Web.

Sockets 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 Requirements 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, Web.

Sockets, tool-call orchestration) Hands-on experience with search and vector database infrastructure (Open. Search / 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 Lang.

Chain, Llama. Index, or custom agents English proficiency at B2 level or higher Nice to have 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