AI Engineer at PivotPoint Tech
Toronto, ON M4T 1W1, Canada -
Full Time


Start Date

Immediate

Expiry Date

19 Nov, 25

Salary

70.0

Posted On

19 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Aws, Continuous Monitoring, Azure, A2A

Industry

Computer Software/Engineering

Description

JOB SUMMARY

We are seeking a skilled AI Developer to join our innovative team. The ideal candidate will be responsible for designing, developing, and implementing AI solutions that enhance our products and services. This role requires a strong foundation in machine learning, natural language processing, and big data technologies. The successful applicant will collaborate with cross-functional teams to create intelligent systems that drive business value.

QUALIFICATIONS

  • 3 years+ data engineering experience or equivalent
  • 3 years+ machine learning engineering experience of equivalent
  • 3 years+ software engineering or equivalent
  • Knowledge of Langchain, A2A, MCP, or other GenAI frameworks
  • Knowledge in LLM, GenAI, and/or Agentic AI
  • Has developed and/or supported MLOps/DevOps systems
  • Cloud certifications (GCP, AWS, Azure) preferred
  • Should understand MLOPs concepts such as continuous training, continuous monitoring, continuous improvements to machine learning and AI systems
    Job Types: Full-time, Fixed term contract
    Contract length: 6 months
    Pay: $70.00-$85.00 per hour
    Expected hours: 40 per week
    Work Location: Hybrid remote in Toronto, ON M4T 1W1
    Expected start date: 2025-09-0

How To Apply:

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Responsibilities
  • Work with the product team and developers to create solutions that meet technical and business requirements
  • Leverage non-deterministic LLMs and deterministic software engineering concepts to build GenAI applications
  • Create evaluation frameworks to determine model accuracy
  • Regularly provide model accuracy reports
  • Write clean maintainable code
  • Debug, fix, and improve GenAI applications using a combination of prompt engineering, reinforcement learning, or software engineering
  • Ensure Personal Information and security policies are respected when working with training or test data
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