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2 дня назад

Senior Software Engineer (AI)

144 000 - 176 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) (LLM infrastructure and full-stack development): Building secure, reusable LLM systems and technology foundations that enable AI-powered banking products, with an accent on full-lifecycle infrastructure, developer enablement, and exploratory R&D. Focus on evaluating emerging technologies, designing production-ready AI workflows, and building shared services that product teams can use safely and quickly.

Location: Hybrid in Kitchener-Waterloo, Ontario, Canada

Annual salary: $144,000–$176,000 CAD; typical starting salary for full readiness is $160,000 CAD.

Company

hirify.global is a digital banking platform providing self-made business owners with financial visibility, cash-flow tools, and banking products.

What you will do

  • Build, deploy, secure, and monitor reusable LLM systems across their full lifecycle.
  • Lead exploratory R&D initiatives and proof-of-concepts for emerging technologies.
  • Provide tooling, reusable patterns, and guidance that help engineering teams ship AI workflows safely.
  • Partner with product teams as an AI engineering advisor and support sound technical decisions.
  • Identify improvements to technology, processes, and products while influencing long-term technical direction.

Requirements

  • 3+ years of full-stack software engineering experience.
  • Experience leading significant components or features with minimal oversight.
  • Ability to move between exploratory prototypes and production-ready systems.
  • Strong judgment when evaluating emerging technologies and their practical value.
  • Experience mentoring junior engineers and driving improvements in code quality, performance, and development processes.
  • Collaborative, proactive ownership and comfort working in ambiguity and fast-paced environments.

Nice to have

  • Experience working in startups or high-growth technology companies.
  • Hands-on experience with LLMs, including self-hosting or serving open models, retrieval systems, evaluation, or agentic workflows.
  • Experience building platforms or shared services for engineering teams.
  • Experience with JavaScript, TypeScript, React, and Node.js.
  • Working knowledge of AWS services and continuous deployment pipelines.

Culture & Benefits

  • Autonomy to take ownership of significant challenges and technical decisions.
  • Focus on reinvention, measurable impact, continuous learning, and direct feedback.
  • Opportunities to build and embed AI into engineering practices and products.
  • Compensation can change with impact rather than being limited to an annual review cycle.
  • Accommodation is available at any stage of the hiring process.

Hiring process

  • Talent video call, followed by an interview with two Engineering Managers.
  • Live coding exercise and a take-home system design challenge with a review call.
  • Final 45-minute in-person interview with a member of the Leadership team.

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