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5 дней назад

Senior Software Engineer (AI)

90 000 - 140 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer (AI): Building an agentic quality engineering orchestration platform with an accent on AI-assisted testing, agentic workflows, developer tooling, and engineering automation. Focus on integrating AI agents with testing frameworks and platform services, developing APIs and cloud applications, and solving complex challenges in emerging AI-enabled software delivery.

Location: Waterloo, Ontario, Canada; hybrid work with the option to work from home or the office based on business and client needs

Salary: CAD 90,000–140,000 per year

Company

hirify.global provides financial security and health-related services to clients, families, and communities worldwide.

What you will do

  • Design, develop, test, and maintain the agentic quality engineering orchestration platform.
  • Build AI-enabled capabilities for engineering productivity, testing, quality outcomes, and software delivery.
  • Design agentic workflows and integrations connecting AI agents with engineering tools, testing frameworks, and platform services.
  • Develop APIs, services, applications, reusable components, and automation solutions using modern engineering practices.
  • Contribute to platform architecture, technical standards, proof-of-concept work, and emerging AI engineering practices.
  • Collaborate with engineering teams, troubleshoot platform issues, provide technical consultation, and support user enablement.

Requirements

  • Bachelor’s degree, college diploma, or equivalent practical experience in computer science, software engineering, information technology, or a related field.
  • 5+ years of experience designing, developing, and supporting software in Agile environments.
  • Experience with AI agents, agentic workflows, AI-enabled software, LLM developer tooling, MCP, tool-calling APIs, and prompt or context engineering.
  • Strong Python skills and experience with Java, JavaScript, TypeScript, or C#.
  • Experience developing APIs, services, integrations, automation solutions, and programmatic automated tests.
  • Experience with Git-based workflows, PostgreSQL, cloud platforms, AWS, Docker, and modern application deployment patterns.

Nice to have

  • Experience applying AI and agentic capabilities to testing, quality engineering, or software delivery.
  • Familiarity with agent governance, evaluation frameworks, observability, and responsible AI practices.
  • Experience with workflow automation, engineering productivity platforms, developer enablement, onboarding, coaching, or communities of practice.

Culture & Benefits

  • Hybrid flexibility to work from home or the office according to business and client needs.
  • Continuous learning, development, and improvement opportunities.
  • Support for internal mobility and professional growth.
  • Collaboration with engineering, product, and platform specialists.
  • Participation in incentive plans may be available to eligible employees.

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