5 дней назад
Senior Full-Stack AI Engineer (AI)
122 835 - 180 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Full-Stack AI Engineer (AI): Building end-to-end features for Alfie, a conversational AI assistant, across APIs, data models, backend services, and React interfaces with an accent on LLM-based products, agentic workflows, and streaming user experiences. Focus on designing tool-calling and recovery flows, evaluating agent behavior in production, and solving AI-specific failures such as incorrect model output, latency, and dropped tool calls.
Location: Hybrid in Toronto, Ontario, Canada
Salary: CA$122,835–CA$180,000 per year, plus equity
Company
provides an AI-powered global work platform that enables companies to hire, pay, and manage employees in more than 185 countries.
What you will do
- Design, build, and ship full-stack features for Alfie, owning work from data models and APIs through to the user experience.
- Build and operate TypeScript or Python backend services with Postgres, AWS, and Kubernetes.
- Develop React and TypeScript conversational and streaming interfaces.
- Design LLM and agentic workflows, including prompts, tool calling, multi-step reasoning, evaluation, and human handoffs.
- Build observability and evaluation systems, troubleshoot production issues, and improve AI behavior using evidence.
- Mentor junior engineers and collaborate with product managers, designers, and engineers on end-to-end delivery.
Requirements
- 7+ years of professional full-stack software engineering experience with strong backend and frontend depth.
- Proficiency in TypeScript or Python and experience designing database-backed services with Postgres or a similar relational database.
- Strong experience with React, backend integration, APIs, and real-time or streaming data.
- At least 1 year of hands-on experience building LLM-powered or agentic products and shipping conversational AI used by real end users.
- Experience with prompt engineering, LLM design patterns, observability, containerized services, Kubernetes, AWS, system design, and scalable architecture.
- Hybrid work in Toronto, Ontario, Canada; collaborative work in a fast-paced environment is expected.
Nice to have
- Experience building products beyond standard CRUD applications and dashboards, with polished or distinctive user experiences.
- Experience with AWS Lambda for asynchronous or infrequent processing.
Culture & Benefits
- Flexible time off.
- Parental leave.
- Health and dental insurance where applicable.
- Retirement savings and an employee incentive plan.
- Lean, collaborative, remote-friendly environment focused on customer value and rapid iteration.
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