5 дней назад
Senior Software Engineer (Voyager)
144 000 - 176 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Voyager) (AI infrastructure/TypeScript): Building secure, reusable LLM systems, shared engineering foundations, and prototypes for emerging technologies with an accent on full-stack development, developer enablement, and production-ready AI infrastructure. Focus on evaluating new technologies, designing scalable platform services, and partnering with product teams to deliver reliable AI workflows.
Location: Toronto, ON; hybrid work format with an in-person leadership interview
Annual salary: $144,000–$176,000 CAD; typical starting salary is $160,000 CAD for candidates fully ready for the role scope.
Company
is a digital banking platform helping self-made business owners manage money and build stronger, more resilient businesses.
What you will do
- Build and deploy secure, reusable LLM systems that support differentiated banking product experiences.
- Own AI infrastructure across design, deployment, monitoring, and ongoing improvement.
- Lead research and proof-of-concept initiatives for emerging technologies and provide adoption recommendations.
- Create tooling, reusable patterns, and guidance that help engineering teams deliver AI workflows safely and quickly.
- Partner with product teams as an AI technical advisor and influence technical direction and long-term strategy.
Requirements
- 3+ years of full-stack software engineering experience.
- Experience leading significant components or features with minimal oversight.
- Strong judgment when moving between exploratory prototypes and production-ready systems.
- Experience mentoring junior engineers and driving improvements in code quality, performance, and development processes.
- Strong collaboration, ownership, problem-solving, and ability to work effectively in ambiguity and change.
- Working knowledge of the listed TypeScript, React, Node.js, AWS, and infrastructure technologies is relevant to the role.
Nice to have
- Hands-on experience with LLMs, including self-hosting or serving open models, retrieval systems, evaluation, or agentic workflows.
- Startup or high-growth technology company experience.
- Experience building platform 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 on significant challenges and make technical decisions.
- A culture focused on reinvention, ownership, continuous feedback, and measurable impact.
- Opportunities to build and embed AI into engineering practices and products.
- Work focused on helping small businesses thrive through clearer financial tools.
- Accommodations are available at every stage of the hiring process.
Hiring process
- 45-minute video call with Talent.
- Live coding exercise, engineering leadership interviews, and a take-home system design challenge with review.
- 45-minute in-person interview with a Leadership team member; employment offers are conditional on background and employment verification.
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