AI Engineer: Full-Stack AI Systems & Platforms in Winnipeg

AI Engineer: Full-Stack AI Systems & Platforms in Winnipeg

Winnipeg Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Develop and enhance AI features for our training and compliance platform.
  • Company: Join Pinpoint Global Communications, a forward-thinking tech company.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Fast-paced, dynamic environment with a startup vibe.
  • Why this job: Be at the forefront of AI innovation and make a real impact.
  • Qualifications: Experience in AI development and strong problem-solving skills.

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

Pinpoint Global Communications is seeking a hands-on engineer to embed in our engineering team and evolve AI-enabled features across our training and compliance platform.

You will own end-to-end development of production-grade AI capabilities, integrate LLM services, and drive ROI through scalable, secure systems.

You will modernize legacy components, design polyglot microservices, and implement robust data governance in a fast-paced, startup-like environment within a corporate portfolio.

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AI Engineer: Full-Stack AI Systems & Platforms in Winnipeg employer: Pinpoint Global Communications

At Pinpoint Global Communications, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As an AI Engineer, you will have the opportunity to work on cutting-edge technology in a collaborative environment, with ample opportunities for professional growth and development. Our commitment to employee well-being is reflected in our comprehensive benefits package and the unique chance to make a significant impact within a fast-paced, startup-like atmosphere.

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Contact Details:

Pinpoint Global Communications Recruitment Team

We think you need these skills to ace AI Engineer: Full-Stack AI Systems & Platforms in Winnipeg

AI Development
End-to-End Development
LLM Integration
Scalable Systems Design
Data Governance
Microservices Architecture
Legacy System Modernization