AI Engineer

Charger Logistics Inc; Brampton; On-site; CAD 80,000 - 110,000; Full time

Job summary

A logistics company is seeking an AI Engineer to develop innovative AI-driven solutions. The role entails designing software prototypes, conducting research to drive AI innovation, and collaborating with cross-functional teams. Ideal candidates will have a bachelor's in a technical field, strong communication skills, and experience with generative AI frameworks. Competitive salary and benefits offered.

Benefits

Competitive Salary

Healthcare Benefit Package

Career Growth

Qualifications

• Bachelors in Computer Science, Artificial Intelligence, or a related technical field.
• Strong communication skills and experience in interdisciplinary environments.
• Solid understanding of statistics and AI/ML concepts.

Responsibilities

• Design and develop software prototypes for AI concepts.
• Conduct literature reviews to identify AI innovation opportunities.
• Collaborate with teams to implement proof-of-concept solutions.

Skills

Software development

AI/ML concepts

Statistical modeling

Team collaboration

Education

Bachelor's in Computer Science or related field

Tools

LangChain

HuggingFace

PyTorch

TensorFlow

Job description

Overview

Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics has transformed into a world-class transport provider and continue to grow.

We are looking for a highly motivated AI Engineer to join our R&D team and contribute to the development of innovative AI-driven solutions for various departments. This role focuses on exploring and representing uncertainty in emergent AI systems—a key step in improving the reliability, transparency, and trustworthiness of AI applications in real-world, high-stakes environments.

Responsibilities

• Design, develop, and evaluate software prototypes to explore and validate cutting-edge AI concepts.
• Conduct literature reviews and competitive analysis to identify opportunities for AI innovation.
• Translate research insights into practical recommendations with business and product impact.
• Collaborate with cross-functional teams to collect requirements and implement proof-of-concept solutions.
• Apply statistical and computational models to address uncertainty and enhance AI decision-making.

Qualifications

• Bachelors in Computer Science, Artificial Intelligence, Human-Computer Interaction, or a related technical field.
• Strong communication skills and experience working in interdisciplinary or team-based environments.
• Solid understanding of statistics, computational probability, and AI/ML concepts.
• Experience in rapid prototyping and building research-grade AI applications.
• Hands-on proficiency with modern generative AI frameworks and tools (e.g., LangChain, HuggingFace, PyTorch, TensorFlow).
• Background in uncertainty quantification, interpretability, or ethical AI is a strong asset.

Benefits

• Competitive Salary
• Healthcare Benefit Package
• Career Growth