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Engineer & Data Scientist

Senior AI System Architecture AI系統架構師

By 2024年12月20日4 3 月, 2025No Comments

Job Function

  • Architect and deploy scalable AI systems and MLOps pipelines on AWS, Azure, GCP, or on premise.
  • Build end-to-end pipelines for data ingestion, feature engineering, model training, and LLM integration.
  • Design multimodal systems combining AutoML, MLOps, and LLM with automation for AI Agent workflows.
  • Implement CI/CD using Kubernetes (K8s) with tools like Kubeflow, and Airflow.
  • Orchestrate job queues (e.g., RabbitMQ, Celery, Kafka) and automation platforms (e.g., n8n, Dify).
  • Validate performance via A/B testing, canary deployments, and continuous monitoring.

Your Impact

  • Lead innovative AI Agent builder architecture design.
  • Enhance system efficiency, scalability, and reliability for real-time AI Agent applications.
  • Set best practices for AI infrastructure and mentor technical teams.

Qualifications

  • Strong skills in Kubernetes, CI/CD, and design patterns
  • Bachelor’s in CS, AI, or related field (Master’s/PhD preferred)
  • 5+ years in AI system architecture, cloud computing, and distributed systems.
  • Expertise in MLOps, AI Agent orchestration, and end-to-end ML pipeline development.
  • Proficient with AWS, Azure, GCP, or on premise solutions.
  • Strong experience with Kubernetes, CI/CD automation, and container orchestration.
  • Familiar with AI/ML/LLM frameworks and tools (HuggingFace Transformers, LangChain, etc.) and configuration management (YAML).
  • Bonus: Experience with AI coding assistants (GitHub Copilot, Cursor).
  • Skilled in performance tuning, system validation, and monitoring.

Join Us
At MoBagel, you’ll work on state-of-the-art AI solutions, lead impactful projects, and be part of a dynamic and fast-paced startup environment.