Lead AI product engineering at Safe Fleet, applying machine learning and computer vision across production-ready fleet safety solutions.
Safe Fleet seeks a highly technical, hands-on Engineering Manager to build AI-powered features and shared platforms. You will guide architecture, coding, prototyping, and delivery while partnering with Product Management and engineering teams. The work includes LLMs, RAG, AI agents, workflow orchestration, and traditional machine learning.
Key Responsibilities: Lead scalable AI feature and platform architecture, development, and delivery
Apply generative AI, deep learning, and computer vision
Establish secure, reliable, scalable, cost-productive AI architecture patterns
Adopt AI-Native Engineering and Agentic SDLC practices




Mentor four to eight engineers and coordinate cross-functional collaboration
Requirements: Eight-plus years of software engineering experience
Three-plus years leading and mentoring engineering teams
Two-plus years developing production AI applications or features
Experience with OpenAI, Azure OpenAI, Google Gemini, Claude, or equivalents
Experience with scalable cloud solutions using AWS, Azure, or GCP
Shape Safe Fleet’s AI capabilities through technical leadership, machine learning, architecture, and responsible product engineering.

#J-18808-Ljbffr

📌 Senior AI Engineering Manager (British Columbia)
🏢 Safe Fleet
📍 British Columbia