4 часа назад
QA & Test Automation Developer (AI)
108 000 - 121 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
QA & Test Automation Developer (AI): Designing and scaling automated test suites, quality engineering frameworks, delivery pipelines, and AI-assisted QA workflows with an accent on risk-based testing, failure triage, and validation of non-deterministic AI systems. Focus on evaluating model responses, tool usage, grounding, consistency, latency, error handling, and end-to-end agent behaviour.
Location: Remote or hybrid in Canada, with EST working hours
Salary: CAD 108,000–121,000 annual base salary, with potential bonus eligibility
Company
develops AI-powered financial risk intelligence software for finance and audit professionals.
What you will do
- Design, develop, maintain, and scale automated test suites for modern software applications.
- Apply exploratory, risk-based, and heuristic testing to identify product risks, edge cases, failure modes, and behavioural gaps.
- Configure and use agentic tools to accelerate test creation, maintenance, analysis, failure triage, and coverage assessment.
- Improve the reliability, performance, and scalability of test frameworks, internal tooling, CI/CD pipelines, and automated quality gates.
- Develop testing strategies and evaluation methods for AI-powered, LLM-based, and agentic product capabilities.
- Collaborate with Engineering, Product, QA, and other technical teams to improve software quality and delivery speed.
Requirements
- Strong software testing fundamentals, critical thinking, exploratory testing, test design, risk-based testing, and product-impact reasoning.
- Hands-on experience designing and developing automated tests and working with modern test automation frameworks.
- Strong programming skills in at least one automation or engineering language, such as TypeScript, JavaScript, or Python.
- Experience with CI/CD pipelines and automated testing in software delivery workflows.
- Ability to troubleshoot complex failures across application, test, data, and infrastructure layers.
- Practical experience using AI-assisted development capabilities to improve engineering and QA workflows, plus strong collaboration and communication skills.
Nice to have
- Experience testing AI-powered applications, LLM features, copilots, or autonomous and agentic systems.
- Experience developing evaluation frameworks for non-deterministic AI behaviour.
- Familiarity with prompt evaluation, tool calling, grounding, retrieval-augmented generation, model evaluation, and LLM observability.
- Experience with large-scale end-to-end test suites, parallel execution, test data management, and distributed CI environments.
Culture & Benefits
- Work options include hybrid or remote arrangements.
- Health benefits and wellness programs.
- Professional development opportunities.
- Flexible time off and four company-wide digital detox days annually.
- Equity, competitive compensation, and company-matched retirement plans.
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