Senior Engineering Manager, AI Product Engineering
Hands-on engineering manager leading a 4-8 person team building production AI features (LLMs, RAG, AI agents, computer vision) across Safe Fleet's fleet-safety product portfolio, while also driving AI-native development practices like AI coding agents and spec-driven development. Based in Coquitlam, BC; salary CAD $150k-$170k plus 12.5% bonus.
- Compensation
- CA$150K–CA$170K / yr
- Location
- coquitlam, BC
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 8+ years of software engineering experience, including strong system design and architecture expertise
- 3+ years of engineering leadership experience, with proven ability to lead and mentor technical teams
- 2+ years of hands-on experience developing and deploying production AI applications or product features
- Strong experience with modern AI platforms and services (OpenAI, Azure OpenAI, Google Gemini, Claude, or equivalent)
- Solid understanding of LLMs, transformer-based models, prompt engineering, RAG, AI agents, and workflow orchestration
- Practical knowledge of Data Science and Machine Learning, including predictive modeling and model evaluation
- Hands-on experience using AI coding agents (Claude Code, GitHub Copilot, or equivalent)
- Practical experience with AI-Native Engineering, Spec-Driven Development, and Agentic SDLC practices
- Experience developing scalable cloud-based solutions using AWS, Azure, or GCP
- Strong technical leadership, communication, and cross-functional collaboration skills
Nice to have
- Experience developing AI-powered features for commercial software products
- Experience with Computer Vision, image/video analytics, Deep Learning, or predictive ML
- Experience with local/self-hosted models, Hugging Face, and Model Context Protocol (MCP)
- Experience with AI agent orchestration frameworks and production ML pipelines
- Experience implementing advanced Agentic SDLC workflows (custom agents, reusable skills, automated verification, CI/CD integration)
- Experience building reusable AI platforms or shared AI services
- Familiarity with Agile methodologies and working in regulated or security-conscious environments
Full description
ABOUT THE POSITION
Meet the Smart Safety Company
At Safe Fleet our name says it all. We make fleet vehicles – and everyone in and around them – safer. Our fleet safety platform brings together best-in-class products, ground-breaking technology, and a 100-year history of fleet know-how and innovation to solve the world’s biggest fleet safety problems.
Our core value is safety. Without safety first, efficiency and productivity are not possible. This is true for our products, our culture, and our relationship with our community. Our vision is to reduce preventable deaths and injuries in and around fleet vehicles with a goal of ZERO accidents.
We are re-defining what safety means for fleets of every type – from school buses to waste collection trucks, firefighting to utility vehicles, police cruisers to delivery vans.
Whether you work in our Charlotte plant to build life-saving stop arms for school buses, or design advanced camera vision products in our Vancouver office, forge valves and high-quality nozzles to fight fires, or dream up new ways to protect fleet operators in our Corporate HQ in Kansas City, you’ll contribute to our goal to keep everyone safe.
We are a fast-growing manufacturing, service, and technology company with over 1700 employees in over 15 locations across Canada and the US. We’re looking for motivated self-starters with innovative thinking to join our team and help us achieve our growth and performance goals. Sound like you?
JOB SUMMARY
We are seeking a highly technical, hands-on Engineering Manager to lead the development of AI-powered features and capabilities across our product portfolio.
The ideal candidate combines strong software engineering fundamentals, practical expertise in modern AI technologies, and proven engineering leadership. This role also requires experience with AI-Native Engineering and Agentic SDLC, leveraging AI coding agents, Spec-Driven Development, and automation to improve engineering productivity and software delivery.
This is a hands-on leadership role focused on building and delivering production-ready AI solutions that create measurable customer value.
You will
AI Product Engineering
- Lead the architecture, development, and delivery of scalable, production-ready AI features and shared AI platforms.
- Apply Generative AI, Machine Learning, Deep Learning, and Computer Vision to solve product challenges.
- Develop solutions using LLMs, RAG, AI agents, workflow orchestration, and traditional ML techniques.
- Establish reusable AI architecture patterns and ensure performance, scalability, security, reliability, and cost efficiency.