{"id":2507529,"url":"https://alion.io/job/safe-fleet-ai-native-quality-engineer","title":"AI Native Quality Engineer","company":{"id":2875979,"name":"Safe Fleet","domain":"safefleet.net","url":"https://alion.io/company/safefleet-net","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Coquitlam, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":110000,"currency":"CAD","period":"year","gross":null,"usd_annual":77381},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Self-Healing","optional":false},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Claude Code","optional":true},{"name":"Confluence","optional":true},{"name":"GitHub","optional":true},{"name":"GitLab","optional":true},{"name":"Jenkins","optional":true},{"name":"Jira","optional":true}],"status":"live","first_seen_at":"2026-08-31T20:25:19Z","employer_posted_date":"2026-08-31","last_verified_at":"2026-10-14T15:38:09Z","board_verified":true,"closed_at":null,"days_open":43,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":43},"description":"Description\nABOUT THE POSITION\nMeet the Smart Safety Company\nAt 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.\nOur 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.\nWe 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.\nWhether 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.\nWe 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?\nJOB SUMMARY\nSafeFleet 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.\nThis 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.\nESSENTIAL DUTIES & RESPONSIBILITIES\nDesign, develop, and maintain automated test suites (UI and API) within an AI-native test automation framework\nBuild agents and AI Skills that generate and maintain automation from specs and requirements\nAnalyze specs, define test strategies, and identify where agent-generated automation can be trusted versus reviewed\nIntegrate automated tests - traditional and agent-generated - into CI/CD pipelines\nEnsure automation frameworks follow best practices: modularity, reusability, robust reporting\nTroubleshoot and resolve testing challenges independently, providing proactive solutions\nDocument automation processes and present results to stakeholders\nImplement cost-control, latency optimization, and retry-logic strategies for production-grade agentic pipelines.\nEnsure 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\nSalary: $100,000 - $110,000/yr CAD + 12.5% Bonus\nThe final offer will be determined based on a combination of factors including skills, experience, and alignment with the role’s responsibilities.\nCandidates at the lower end of the range will meet the core qualifications and demonstrate strong potential to grow within the role.\nMid-range offers reflect a solid match with the role’s technical and collaborative requirements.\nOffers 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\nAt 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.\nRequirements\n3+ years of hands-on experience in test automation\nPractical experience with LLM API integration and prompt engineering\nSkills in agentic workflows and orchestration or Familiarity with agentic concepts and workflows; interest or practical experience in orchestrating LLM-based tasks\nCapability to handle LLM limitations, including latency, cost control, and retries/fallbacks\nFamiliarity with Anthropic Claude; experience with MCP is a plus\nWorking knowledge of CI/CD tooling (e.g., Jenkins, Azure DevOps, GitLab)\nAdvanced English communication skills\nNice to Have\nExperience with Jira, Confluence, and GitHub-based workflows; Atlassian Rovo experience is a plus\nPrior experience in a \"hybrid QA + systems\" role - writing the test and defending why it's the right test\nClaude code courses completed","description_format":"text","description_chars":4997,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T07:57:08Z"}],"visa":[],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":1,"p_active":0.592,"p_room":0.45,"age_days":43,"expected_fill_days":24,"reasons":["conf:2","win:tail"],"computed_at":"2026-10-14T18:24:33Z"},"pay":{"stated_usd_annual":77381,"is_top_pay":false},"html_url":"https://alion.io/job/safe-fleet-ai-native-quality-engineer","json_url":"https://alion.io/job/safe-fleet-ai-native-quality-engineer.json","meta":{"generated_at":"2026-10-14T18:24:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":23884,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2875979},"rest":"https://alion.io/mcp/rest/get_company?id=2875979"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsafe-fleet-ai-native-quality-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsafe-fleet-ai-native-quality-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsafe-fleet-ai-native-quality-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/safe-fleet-ai-native-quality-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsafe-fleet-ai-native-quality-engineer"}]}