AI Software Engineer at Cozey
Remote, British Columbia, Canada -
Full Time


Start Date

Immediate

Expiry Date

02 Nov, 25

Salary

0.0

Posted On

04 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

ABOUT COZEY

At Cozey, we’re not just selling furniture; we’re striving to enhance the living spaces of our customers across Canada and the United States. Our vision is straightforward to become the world’s leading furniture company. We value data, learning, and adaptability, ensuring that our operations are as dynamic as the market we operate in. We believe in providing a platform where ideas are heard, respected, and implemented, and where every team member is a key player in our journey.

THE MISSION OF THE AI SOFTWARE ENGINEER

We’re looking for a hands-on AI Software Engineer to embed across teams, understand how work really gets done, and ship automations that save time, reduce errors, free up other teams to focus on the work that truly matters.
You’ll spend your days inside our operations, customer happiness, and marketing functions spotting high-friction tasks, finding opportunities for automation, and rapidly building short-term solutions using AI tools, scripting, or no-code platforms. You’ll work closely with our product manager to align your work with long-term product plans and support engineering teams with insights and prototypes.
This is a builder role for someone who thrives on creating leverage with AI, doesn’t mind diving into messy workflows, and wants to make a real impact fast.

Responsibilities
  • Spend time with operations, support, logistics, and marketing teams to deeply understand how work gets done
  • Identify manual, repetitive, or error prone tasks across departments
  • Build and deploy quick solutions using AI tools, scripting, or no-code/low-code platforms
  • Share insights with the product manager to help shape long-term solutions
  • Consult with engineers to improve internal systems and infrastructure with real-world context
  • Stay current on the latest AI tools and test new applications across the business
  • Document your work and discoveries to build team knowledge and repeatable playbooks
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