Build AI platforms for LLM applications using Python, TypeScript, and enterprise DevOps practices. Design production-class services across the full SDLC. As an AI Platform Engineer, you will design, build, and operate enterprise AI and GenAI platforms. The work supports Large Language Models and AI-powered applications while strengthening reusable services. You will also develop frameworks for deployment, monitoring, versioning, evaluation, and governance. Key Responsibilities:

Design and operate enterprise AI and GenAI platforms Develop scalable LLMOps and MLOps frameworks Build reusable AI services for application teams Integrate value-add services with existing DevOps stacks Evolve DevOps services and coach application teams Requirements:

Strong engineering capabilities across the SDLC Development experience with Python or TypeScript Experience with Docker or Kubernetes Solid CI/CD and DevOps practices experience Knowledge of AI/GenAI platforms, LLMOps, and MLOps Apply enterprise engineering, LLMOps, MLOps, and DevOps expertise to AI platforms supporting production applications.

#J-18808-Ljbffr

📌 AI Platform Engineer LLMOps MLOps (Winnipeg)
🏢 Astra North Infoteck
📍 Winnipeg