Engineering Manager (AI Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Engineering Manager (AI Engineering): Leading the AI Engineering team to build the intelligence layer for a spend management platform with an accent on Generative AI, LLMs, and agentic systems. Focus on architecting RAG systems, orchestrating agentic workflows, and scaling AI-powered products in a production environment.
Location: Remote within Canada
Salary: $184,000 - $205,000 CAD
Company
is an intelligent spend management company providing organizations with visibility and control over business spend through a unified procurement, AP, and expenses platform.
What you will do
- Manage and coach a team of AI Engineers, fostering a high-performance culture of ownership, trust, and experimentation.
- Serve as a player-coach by actively participating in architecture reviews, technical design, prototyping, and critical implementation.
- Define and execute the AI technical strategy, focusing on RAG systems, agentic workflows, and LLM-powered features.
- Partner with Product, Design, Platform, and Security teams to deliver robust, trustworthy, and compliant AI solutions.
- Balance short-term product delivery with long-term platform investments and technical debt reduction.
- Champion engineering excellence and establish best practices for deploying and operating AI at scale.
Requirements
- 8+ years of software engineering experience, with 3+ years leading engineering teams.
- 3-5+ years of experience building and deploying AI-powered products in production environments.
- Hands-on expertise with Python, Azure OpenAI/AWS Bedrock, Databricks, and Kubernetes.
- Deep experience with RAG, agentic AI workflows, and orchestration frameworks like LangChain, LangGraph, or CrewAI.
- Proven track record of architecting and scaling distributed systems and AI platforms.
- Must be based in Canada.
Nice to have
- Background in the FinTech ecosystem or B2B SaaS environments.
- Strong knowledge of Agile, CI/CD, test automation, and modern DevOps practices.
- Experience with LLMOps tooling and AI developer tooling.
Culture & Benefits
- Remote-first organization with flexible working hours within Canada.
- Responsible time off policy for rest and recharge.
- Competitive health, vision, and dental package, including a wellness spending account.
- Stock options program for all team members.
- Active DEI initiatives and regular community engagement programs.
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