Back to SearchLead AI & Deep Learning Engineer
Remote in Mexico
AI Solution Engineering& 11 others
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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.
Responsibilities
- 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
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, 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
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