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Procurify

Cloud-based spend management & procurement platform

Engineering Manager - AI Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeRemote in Canada

About the Job

Requirements

  • At least 8 years of software engineering experience.
  • At least 3 years leading software engineering teams.
  • 3–5+ years building and deploying AI-powered products or platforms in production environments.
  • Demonstrated success as a technical leader in a player-coach capacity.
  • Hands-on experience building and operating LLM-powered applications, Retrieval-Augmented Generation systems, agentic AI workflows, AI orchestration frameworks, AI evaluation and monitoring systems, and production machine learning services.
  • Experience with Python, Azure OpenAI and/or AWS Bedrock, Databricks, Kubernetes, vector databases, orchestration frameworks such as LangGraph, LangChain, or CrewAI, and ML/LLMOps tooling.
  • Ability to architect and scale distributed systems, AI platforms, and customer-facing software products, making pragmatic tradeoffs among speed, reliability, maintainability, and cost.
  • Experience translating ambiguous business problems into AI-enabled products that deliver measurable customer value.
  • Ability to communicate technical concepts, AI capabilities, risks, and tradeoffs to technical and non-technical audiences.
  • Deep understanding of Generative AI, Large Language Models, retrieval systems, agentic architectures, and AI safety and governance considerations.
  • Ability to lead accountably and empathetically in an autonomous, fast-paced environment.

Responsibilities

  • Manage the AI Engineers team, coach for technical excellence, support individual career growth, and nurture a high-performance culture built on trust, ownership, experimentation, and collaboration.
  • Participate in architecture reviews, technical design, prototyping, proof-of-concepts, and critical implementation efforts while maintaining active engagement with the team's work and technical direction.
  • Lead the team in delivering AI-powered products and platform capabilities, define success metrics, track progress, and communicate with stakeholders to ensure alignment and business impact.
  • Set AI Engineering technical strategy with Product, Platform, and Security stakeholders; define architectural standards and guardrails for agentic workflows, Retrieval-Augmented Generation systems, and LLM-powered features.
  • Guide the design, development, deployment, and operation of AI services and infrastructure, including model integrations, knowledge retrieval systems, orchestration platforms, agent frameworks, evaluation and testing frameworks, and monitoring and feedback loops.
  • Balance experimentation, technical debt reduction, platform investments, and product delivery while maintaining engineering quality and operational excellence.
  • Work with Engineering leadership to evolve engineering culture and promote technical excellence, responsible innovation, continuous learning, and disciplined execution.
  • Collaborate with Security, Platform Engineering, Product, Design, and Customer teams to deliver robust, trustworthy, and compliant AI solutions.

Desired Qualifications

  • Interest or background in the FinTech ecosystem; direct experience building AI-powered products in a B2B SaaS environment is highly desirable.
  • Knowledge of agile development practices, CI/CD, test automation, observability, and modern software delivery practices.
  • Experience building workflow orchestration systems, durable asynchronous programming, intent detection, AI platforms, evaluation frameworks, model governance processes, or AI developer tooling.

About the Company

Procurify

Cloud-based spend management & procurement platform

Procurify provides a cloud-based spend management platform that helps mid-sized to large organizations control purchasing, manage expenses, and gain real-time visibility into spending. The system includes budgeting, approval workflows, and expense tracking, and is delivered via a subscription SaaS model. Customers access the platform to submit purchase requests, route them through configurable approval processes, monitor budgets, and track expenses across departments, all in a single interface. Unlike generic procurement tools, Procurify emphasizes ease of use, real-time insights, and alignment of spending with business goals, supported by a focus on customer success and ongoing product improvements. The company’s goal is to make organizational spending transparent and controllable, enabling better financial decisions and value-aligned procurement.

Company size
51-200
Company stage
Debt Financing
Total funding
$108.4M
Headquarters
Vancouver, Canada
Founded
2013

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