AI-Powered Full-Stack Engineer – Remote in Toronto

AI-Powered Full-Stack Engineer – Remote in Toronto

Toronto Full-Time 121500 - 148500 $ / year (est.) Remote
D

At a Glance

  • Tasks: Design and implement intelligent systems using AI across the full stack.
  • Company: Join a remote-first startup in Toronto focused on innovation.
  • Benefits: Flexible work environment, competitive salary, and opportunities for growth.
  • Other info: Exciting projects with a focus on data-driven insights and secure architectures.
  • Why this job: Make an impact with cutting-edge AI technology in a collaborative team.
  • Qualifications: 5+ years in full-stack development and experience with AI/ML systems.

The predicted salary is between 121500 - 148500 $ per year.

Policy Me is seeking an AI‑driven Full Stack Engineer to design and implement intelligent systems across the stack, enabling data‑driven insights and secure cloud architectures.

You will collaborate with product, design, and business teams in a remote‑first, Toronto‑based startup environment.

We value 5+ years of experience in full‑stack development and production AI/ML systems, with deep knowledge in NLP, CV, and recommendation engines.

#J-18808-Ljbffr

AI-Powered Full-Stack Engineer – Remote in Toronto employer: Devconnectplatform

Mozilla is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Contract Staff Front End Engineer role. With a focus on meaningful projects like enhancing Firefox's web conferencing capabilities, employees benefit from competitive compensation, flexible remote work options, and opportunities for professional growth in a supportive environment that values open-source contributions and diverse perspectives.

D

Contact Details:

Devconnectplatform Recruitment Team

We think you need these skills to ace AI-Powered Full-Stack Engineer – Remote in Toronto

Full-Stack Development
AI/ML Systems
Natural Language Processing (NLP)
Computer Vision (CV)
Recommendation Engines
Cloud Architecture
Data-Driven Insights