AI Native Quality Engineer

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

SafeFleet is shifting to AI-native engineering — Spec-Driven Development, AI-assisted implementation. We're looking for an AI-Native Quality Engineer to bridge traditional test automation with this shift: building agents that generate automation, not just writing automation by hand.

This is a hands-on engineering role. You'll build on existing LLM platforms (e.g., Claude), write and integrate automation into CI/CD, and make sure agent-generated tests are actually correct.

ESSENTIAL DUTIES & RESPONSIBILITIES

• Design, develop, and maintain automated test suites (UI and API) within an AI-native test automation framework
• Build agents and AI Skills that generate and maintain automation from specs and requirements
• Analyze specs, define test strategies, and identify where agent-generated automation can be trusted versus reviewed
• Integrate automated tests — traditional and agent-generated — into CI/CD pipelines
• Ensure automation frameworks follow best practices: modularity, reusability, robust reporting
• Troubleshoot and resolve testing challenges independently, providing proactive solutions
• Document automation processes and present results to stakeholders
• Implement cost-control, latency optimization, and retry-logic strategies for production-grade agentic pipelines.
• Ensure the Framework Evolution in terms of transition of our testing ecosystem toward modular, self-healing frameworks that utilize LLM APIs and UI for automated maintenance

Salary: $100,000 - $110,000/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 Safefleet, 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

• 3+ years of hands-on experience in test automation
• Practical experience with LLM API integration and prompt engineering
• Skills in agentic workflows and orchestration or Familiarity with agentic concepts and workflows; interest or practical experience in orchestrating LLM-based tasks
• Capability to handle LLM limitations, including latency, cost control, and retries/fallbacks
• Familiarity with Anthropic Claude; experience with MCP is a plus
• Working knowledge of CI/CD tooling (e.g., Jenkins, Azure DevOps, GitLab)
• Advanced English communication skills

Nice to Have

• Experience with Jira, Confluence, and GitHub-based workflows; Atlassian Rovo experience is a plus
• Prior experience in a "hybrid QA + systems" role — writing the test and defending why it's the right test
• Claude code courses completed