Founding AI Forward-Deployed Engineer (Hybrid)

Docebo

Toronto

Hybrid

CAD 150,000 - 200,000

Full time

14 days+
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Benefits offered by this job

ESPP 15% discount
Health benefits
Paid vacation days
Docebo Days
Floating holidays
Birthday off
Employee Resource Groups

Job summary

Docebo is seeking a founding member of our Forward Deployed Engineering team to bridge cutting-edge AI technology with real-world impact. You will work hand-in-hand with strategic enterprise customers to transform complex L&D workflows into autonomous, high-impact AI agents within the Docebo Agent Hub.

You’ll own the product lifecycle from discovery and system architecture to production deployment, shaping the technical roadmap, and building bespoke solutions that scale across our ecosystem.

Qualifications

  • 5+ years of hands-on full-stack software development.
  • Customer-centric focus with ability to engage enterprise stakeholders.
  • Comfort with undefined problems and ownership from zero to one.
  • Ability to prototype quickly and iterate based on feedback.
  • Proficiency in React and TypeScript for frontend and Next.js/TS for backend.

Responsibilities

  • Define how the FDE team operates and set internal playbooks.
  • Map complex L&D workflows with enterprise customers for AI integration.
  • Design, build, and deploy bespoke AI agents within the Docebo Agent Hub.
  • Translate customer insights into platform enhancements and scalable features.
  • Own the product lifecycle from discovery to production deployment.

Skills

Full-stack development
Customer focus
Ambiguity handling
Prototyping
Frontend
Systems architecture

Tools

React
TypeScript
Next.js
AWS
Kubernetes
LLM providers

Job description

Docebo is seeking a founding member of our Forward Deployed Engineering team to bridge cutting-edge AI technology with real-world impact. You will work hand-in-hand with strategic enterprise customers to transform complex L&D workflows into autonomous, high-impact AI agents within the Docebo Agent Hub.

You’ll own the product lifecycle from discovery and system architecture to production deployment, shaping the technical roadmap, and building bespoke solutions that scale across our ecosystem.

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