Senior Software Engineer, Ai Product Engineering

Safety is where everything begins. It shapes our culture, our products, and the way we show up for our communities. Join us as we build smarter technologies that redefine fleet safety. When you help make fleets smarter, you make people safer.
Senior Software Engineer, AI Product EngineeringAbout The PositionABOUT THE POSITION
Meet the Smart Safety Company
AtSafe Fleetour 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 skilled, hands-on Senior Software Engineer to design, develop, and deliver AI-powered features and capabilities across our product portfolio.
The ideal candidate combines strong software engineering fundamentals, practical expertise in modern AI technologies, and experience delivering production-grade AI solutions. The role requires proficiency in AI-Native Engineering and Agentic SDLC, leveraging AI coding agents, Spec-Driven Development, and automation to accelerate software delivery while maintaining high standards of quality and security.
This is a hands-on engineering role focused on building scalable AI solutions that deliver measurable customer value.
You will
Design, develop, and deploy scalable, secure, and production-ready AI features and shared AI services.
Apply Generative AI, Machine Learning, Deep Learning, and Computer Vision to solve product challenges.
Build solutions using LLMs, RAG, AI agents, workflow orchestration, and traditional Machine Learning techniques.
Develop robust backend services and APIs to integrate AI capabilities into existing products.
Implement AI evaluation, monitoring, and optimization to ensure reliability, performance, and cost efficiency.
Contribute to reusable AI architecture patterns, technical prototyping, and production delivery.
AI-Native Engineering & Agentic SDLC
Apply AI-Native Engineering practices throughout the software development lifecycle.
Leverage AI coding agents, Spec-Driven Development (SDD), and development automation to improve engineering productivity.
Develop and utilize AI agents, reusable skills, and automated workflows for implementation, testing, code review, and delivery.
Continuously improve Agentic SDLC practices while maintaining software quality, security, and maintainability.
Collaborate with Product Management and other engineering teams to translate product requirements into technical solutions.
Participate in architecture and design discussions, code reviews, and technical decision-making.
Mentor other engineers and contribute to engineering standards, technical knowledge sharing, and continuous improvement.
Stay current with emerging AI technologies and AI-Native Engineering best practices.
Salary: $120,000 - $140,000/yr CAD + 12.5% bonus
The final offer will be determined based on a combination of factors including skills, experience, and alignment with the role’s responsibilities.
Candidates at the lower end of the range will meet the core qualifications and demonstrate strong potential to grow within the role.
Mid-range offers reflect a solid match with the role’s technical and collaborative requirements.
Offers at the top of the range are reserved for candidates who bring exceptional qualifications, specialized expertise, or unique value that significantly exceeds the baseline expectations
At Safe Fleet, we are an equal opportunity employer that is committed to creating a diverse and inclusive workplace where everyone is valued and respected. We embrace diversity and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other legally protected status. We promote fair and equitable hiring practices and foster a culture of inclusivity and respect. Our core values of integrity, innovation, teamwork, customer focus, and safety guide our efforts to provide a workplace where all employees can thrive and reach their full potential.
Requirements
6+ years of professional software engineering experience, including strong system design and software architecture skills.
Proven hands-on experience developing and deploying AI-powered applications or product features in production.
Strong experience with modern AI platforms and services, such as OpenAI, Azure OpenAI, Google Gemini, Claude, or equivalent technologies.
Solid understanding of LLMs, transformer-based models, prompt engineering, RAG architectures, AI agents, and workflow orchestration.
Practical knowledge of Data Science and Machine Learning fundamentals, including model evaluation and performance considerations.
Strong experience developing backend systems, APIs, and scalable cloud-based solutions using AWS, Azure, or GCP.
Proficiency with AI coding agents, such as Claude Code, GitHub Copilot, Cursor, or equivalent tools.
Hands-on experience applying AI-Native Engineering practices, including Spec-Driven Development and AI-assisted software development workflows.
Practical understanding of Agentic SDLC, including agent-assisted implementation, automated testing, verification, and development automation.
Strong problem-solving, communication, and cross-functional collaboration skills.
Preferred Qualifications
Experience developing AI-powered features for commercial software products.
Experience with Computer Vision, image/video analytics, Deep Learning, or predictive Machine Learning.
Experience with local/self-hosted models, Hugging Face, and Model Context Protocol (MCP).
Experience with AI agent orchestration frameworks and production ML pipelines.
Experience developing custom AI coding agents, reusable agent skills, automated verification, and CI/CD integration.
Experience building reusable AI services or shared AI platforms.
Familiarity with Agile methodologies and experience working in regulated or security-conscious environments.
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