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Logistics Automation Jobs in Toronto, ON (NOW HIRING)

Charger Logistics Inc

Senior AI Engineer

Brampton, ON · On-site

Build multi-agent workflows using orchestration frameworks and agent-to-agent communication protocols for complex logistics automation. * Develop and optimize knowledge retrieval pipelines using RAG ...

New

Charger Logistics Inc

AI Engineer

Brampton, ON · On-site

Build multi-agent workflows using orchestration frameworks and agent-to-agent communication protocols for complex logistics automation. * Develop and optimize knowledge retrieval pipelines using RAG ...

Charger Logistics Inc

Senior AI Engineer

Brampton, ON · On-site

Build multi-agent workflows using orchestration frameworks and agent-to-agent communication protocols for complex logistics automation. * Develop and optimize knowledge retrieval pipelines using RAG ...

New

Kuehne + Nagel

Automation Expert

Mississauga, ON · On-site

CA$66K - CA$82K/yr

It's more than a job As a Contract Logistics Specialist at Kuehne+Nagel, you will manage end-to-end ... You will be responsible for owning warehouse automation and management of complex operations ...

Purolator

EDI Automation Tester

Mississauga, ON · Hybrid

As Canada's leading integrated freight, package, and logistics provider, we've been helping ... This role combines hands‑on test automation, deep validation of EDI and integration patterns ...

Purolator

EDI Automation Tester

Mississauga, ON · Hybrid

As Canada's leading integrated freight, package, and logistics provider, we've been helping ... This role combines handson test automation, deep validation of EDI and integration patterns , and ...

Kiongroup

Account Manager

Mississauga, ON

CA$85K - CA$125K/yr

Are you a highly consultative sales professional with a background in logistics, automation, or engineering industries? Are you interested in joining a fast-growing team of highly experienced ...

Kiongroup

Account Manager

Mississauga, ON

CA$85K - CA$125K/yr

Are you a highly consultative sales professional with a background in logistics, automation, or engineering industries? Are you interested in joining a fast-growing team of highly experienced ...

FIC

Director of Logistics

Toronto, ON

CA$150K - CA$200K/yr

They are seeking a director of logistics who is capable of identifying any existing issues in their ... Exposure to warehouse automation, analytics, or process-technology projects that improved ...

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Logistics Automation information

What is the difference between Logistics Automation vs Warehouse Technician?

AspectLogistics AutomationWarehouse Technician
CredentialsTechnical certifications, automation system trainingHigh school diploma or equivalent, technical skills
Work EnvironmentControl rooms, automated facilitiesWarehouse floors, manual handling areas
Industry UsageSupply chain, logistics companies, distribution centersWarehousing, inventory management
Job FocusDesign, maintain, and optimize automation systemsOperate and troubleshoot warehouse equipment

Logistics Automation professionals focus on implementing and maintaining automated systems to improve supply chain efficiency, while Warehouse Technicians handle manual tasks and equipment within warehouses. Both roles are essential in logistics but differ in technical complexity and daily responsibilities.

What is a logistics automation job description?

A logistics automation job involves managing and implementing automated systems to optimize warehouse and supply chain operations. Responsibilities include configuring and maintaining automation equipment like conveyor systems and robotics, analyzing data to improve efficiency, and ensuring safety standards are met. Skills in technology, problem-solving, and familiarity with automation tools are essential for this role.

What is logistics automation?

Logistics automation involves using technology such as robotics, warehouse management systems, and software to streamline and improve the efficiency of supply chain operations. In logistics automation roles, professionals often work with automated storage and retrieval systems, conveyor systems, and data analysis tools to optimize inventory management and distribution processes.

What job categories do people searching Logistics Automation jobs in Toronto, ON look for?

The top searched job categories for Logistics Automation jobs in Toronto, ON are:

Logistics Automation jobs near you
Infographic showing various Logistics Automation job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior AI Engineer

Brampton, ON • On-site

Charger Logistics Inc
51 - 200 employees
Learn more about Charger Logistics Incexternal

Full-time

Posted 2 days ago

New

Job description

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 team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This role focuses on building production AI agents and MCP (Model Context Protocol) integrations that automate real logistics workflows—dispatch, billing, compliance, and fleet operations—improving the reliability, transparency, and efficiency of AI applications in real-world, high-stakes environments.

Responsibilities:

  • Design, develop, and deploy MCP servers exposing domain services as AI-consumable tools with proper authentication, observability, and error handling.
  • Build multi-agent workflows using orchestration frameworks and agent-to-agent communication protocols for complex logistics automation.
  • Develop and optimize knowledge retrieval pipelines using RAG, KAG, and CAG strategies—selecting the right approach based on query complexity, data volatility, and domain reasoning requirements.
  • Design hybrid retrieval architectures that route between CAG for static reference data, RAG for dynamic operational queries, and KAG for multi-hop reasoning across structured domain knowledge.
  • Implement LLM integration layers—prompt engineering, function calling, structured output parsing, and model routing for domain accuracy.
  • Collaborate with cross-functional teams to collect requirements and translate operational workflows into agent capabilities.
  • Deploy and maintain agent infrastructure on Kubernetes with GitOps practices and observability tooling.

Requirements

  • 2-3 years of experience with Bachelor's in Computer Science, Artificial Intelligence, or a related technical field.
  • Strong communication skills and experience working in interdisciplinary or team-based environments.
  • Solid understanding of REST APIs, microservices architecture, and AI/ML concepts.
  • Experience building production-grade AI applications in Python—not just notebooks or prototypes.
  • Hands-on proficiency with LLM integration: function calling, tool use, structured outputs (OpenAI, Anthropic, or Google APIs).
  • Solid understanding of knowledge retrieval patterns including RAG (Retrieval-Augmented Generation), with familiarity of emerging approaches like KAG (Knowledge-Augmented Generation) and CAG (Cache-Augmented Generation).
  • Proficiency with SQL and at least one analytical data platform (BigQuery, Snowflake, or similar).
  • Experience with cloud platforms and container orchestration (Kubernetes).
  • Background in MCP, agent orchestration frameworks, knowledge graphs, or streaming data systems is a strong asset.

Benefits

  • Competitive Salary
  • Healthcare Benefit Package
  • Career Growth