2 дня назад
Senior Software Engineer (AI)
144 000 - 176 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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