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Workleap

AI talent management platform for HR

Senior AI Developer - Agentic Systems

AI Application EngineeringUpdated on Nov 14
Full-timeRemote in Canada

About the Job

Requirements

  • Fluency in English is required for regular collaboration with colleagues, clients, and partners who speak a language other than French.
  • Strong experience in production engineering across the full agent development lifecycle.
  • Practical experience designing and deploying multi-agent systems, including orchestration, tools, context, and memory, integrated with tools such as Slack, Atlassian, and MCP.
  • Experience instrumenting and evaluating systems, including evaluations, observability, regression testing, and cost tracking.
  • Strong architectural judgment regarding reliability, security, and cost, including choosing appropriate models for tasks, and the ability to form and defend technical opinions.
  • Experience creating components or tools that other people adopt.
  • Product sense, including understanding how Product Managers work and building with users.
  • A builder mindset, accountability for delivered work, comfort with ambiguity in early-stage projects, and daily use of AI-assisted development tools with critical judgment.

Responsibilities

  • Deliver the first production agents with Product Managers, beginning with brief creation and the transition from Product Manager to design, then extending agents across the product lifecycle.
  • Shape shared architecture and standards for orchestration, skills, memory, evaluations, and safeguards so both product lines use the same foundation.
  • Own production quality for the agents, embedding observability, testing, security, and cost controls from the start, with human approval at each key step.
  • Co-design with Product Managers by understanding their workflows, reusing existing automation, and delivering small iterations for them to test and adopt.
  • Measure time saved, elapsed time from customer signal to delivered decision, and cost per agent and feature, and discontinue work that adds no value.
  • Share agent-development practices so the team can build, operate, and improve agents independently.

Desired Qualifications

  • Experience in product management or with a B2B SaaS, human resources, or information technology product.

About the Company

Workleap

AI talent management platform for HR

Workleap provides an AI-powered talent management platform designed to improve the employee experience in hybrid work settings. It combines performance management with compensation management (added after acquiring Barley) to connect how well employees perform with how they are rewarded, creating a holistic view of talent development. The platform helps HR teams and business leaders streamline various parts of the employee lifecycle—from onboarding to performance reviews—through an integrated suite of tools that boost engagement and develop high performers. Compared with competitors, Workleap offers an all-in-one HR technology solution that ties performance directly to compensation, enabling data-driven decisions and easier talent development across the organization. The company’s goal is to help organizations optimize talent management, increase employee engagement, and improve retention by providing a unified, AI-assisted platform tailored for hybrid work environments.

Company size
201-500
Company stage
Growth Equity (Venture Capital)
Total funding
$91.7M
Headquarters
Montreal, Canada
Founded
2006

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