9 часов назад
Staff Software Engineer (AI)
184 000 - 314 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI): Building full-stack AI decisioning experiences, including agent setup, creative and launch workflows, reporting dashboards, APIs, and services connected to machine learning pipelines with an accent on scalable web architecture and intuitive user experiences. Focus on designing reliable product surfaces for reinforcement learning-based personalization, integrating agentic systems, and mentoring engineers while driving technical strategy.
Location: Toronto, Canada
Salary: CA$184,000–CA$314,000/year base compensation; expected OTE of CA$204,000–CA$348,000/year.
Company
is a customer engagement SaaS platform that helps brands deliver personalized, cross-channel experiences using AI agents, models, and decisioning.
What you will do
- Lead high-impact initiatives across AI Decisioning products, including agent setup, creative and launch workflows, reporting, and ML pipeline integrations.
- Build full-stack experiences from dashboard interfaces to data models, APIs, background jobs, and backend services.
- Collaborate with Product, Design, and ML Engineering to turn the AI roadmap into reliable, intuitive software.
- Lead web application architecture initiatives focused on scalability, maintainability, and performance.
- Influence product strategy and roadmap through technical insights and user experience improvements.
- Mentor engineers and support teams implementing ’s AI solutions.
Requirements
- 7+ years of relevant software engineering experience with a strong record of delivering impact.
- Strong full-stack development skills, including data models, APIs, background jobs, and end-to-end product ownership.
- Strong frontend development experience with TypeScript and React; Vue is a plus.
- Experience designing and maintaining scalable web application architectures.
- Expertise with AI coding agents, reusable development skills, and automation.
- Clear written and verbal communication, technical decision-making, user-centric design, and experience mentoring engineers.
Nice to have
- Experience building user experiences for machine learning and data-intensive applications.
- Experience with LLM product surfaces, embeddings, agent orchestration, and evaluation.
- Experience with Python and/or Ruby on Rails.
Culture & Benefits
- Hybrid ways of working with a curated in-office experience.
- Equity grants, retirement and employee stock purchase plans.
- Flexible paid time off and comprehensive medical, dental, vision, life, and disability benefits.
- Fertility benefits and equal paid parental leave.
- Career pathing, learning platforms, and an annual learning stipend.
- Employee Resource Groups, community volunteering, donation matching, and a collaborative culture.
Hiring process
- AI-assisted tools may be used to analyze application materials and support scheduling, interview recording, and note summarization.
- Recruiting teams remain responsible for hiring decisions; candidates may request information, opt out, or request manual review depending on location.
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