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Added 7 mins ago
AM
Systems Design Engineer (New Grad)
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Develop and maintain debug scripts and automation tools (Python, shell) to accelerate failure triage and reduce manual investigation time.
Added 7 mins ago
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Senior Yocto Developer Toronto
Litmus
Remote, Canada
- Full-time
- Remote
We are looking for a highly skilled and passionate Senior Yocto & Linux Software Engineer to join our engineering team in Toronto. In this role, you will be responsible for developing,…
Added 17 mins ago
T
Senior AI Engineer (GCP/Vertex AI) Contract
TekRek
Canada
- Contract
Hands-on experience with GCP Vertex AI and strong Python. Production work on Azure AI Foundry or AWS Bedrock will also be considered
Added 17 mins ago
NS
Senior Site Reliability Engineer (SRE) – CDN & Web Performance
N2P Systems
Toronto, ON
- Full-time
We are seeking a Senior Site Reliability Engineer (SRE) to help build and operate a modern, public-facing enterprise web platform delivered through Adobe Experience Manager (AEM) Edge…
Added 49 mins ago
CG
Martech/ Growth Engineer
Credit Genie
Toronto, ON
- Full-time
We’re looking for a MarTech / Growth Engineer to sit at the intersection of Marketing, Engineering, Data, Product, and Operations.
Added 49 mins ago
SI
Senior Cryptographic Protocol Engineer
SuperQubit Inc.
Markham, ON
- Full-time
Python - automation, testing, tooling, crypto prototyping
Added 1 hour ago
AI
Salesforce AI & Data Cloud Solutions Engineer
AGF Investments
Toronto, ON
- Full-time
We are seeking a hands-on Data Engineer to own both the underlying CRM data foundation and the Data360 platform. The role will design, build, govern, and support scalable data models,…
Added 1 hour ago
AI
GCP Infrastructure & Cloud SRE Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Experience with SRE practices, observability, incident management, and automation.
Added 1 hour ago
RI
Network security / Firewall Consultant
Raas Infotek
Calgary, AB
- Contract
PCNSE (Palo Alto Networks Certified Network Security Engineer)
Added 1 hour ago
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CyberSecurity Specialist- Agentic AI
Galent
Toronto, ON · North York, ON
- Contract
Develop solutions using LLMs, AI agents, APIs, cloud, containers, and security automation.
Added 1 hour ago
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GCP Infrastructure Engineer
LanceSoft, Inc.
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Experience with SRE practices, observability, incident management, and automation.
Added 1 hour ago
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IAM Engineer with Python Developer Experience // Montreal, QC(Hybrid)//FTE
AceStack
Montreal, QC
- Full-time
We are looking for an IAM Engineer with strong Python development experience to support Identity & Access Management, Directory Services, automation, migration, and production engineering…
Added 1 hour ago
RI
Senior Full Stack Engineer - Java /
Rose International
Mississauga, ON
- Full-time
Job Title: Senior Full Stack Engineer - Java / AI
Added 1 hour ago
PF
Full Stack Engineer
PEOPLE FORCE CONSULTING INC
Quebec, QC
- Contract
Experience using Python for scripting, automation, or backend development.
Added 1 hour ago
RI
Network security / Firewall Consultant
Raas Infotek
AB · Alberta, Canada
- Contract
PCNSE (Palo Alto Networks Certified Network Security Engineer)
Added 1 hour ago
Systems Development Engineer Intern, Canada 2027
Amazon
Vancouver, BC
As a system development engineer intern, you will/may:
Added 1 hour ago
RC
GCP Infrastructure & Cloud SRE Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Job Title: GCP Infrastructure & Cloud SRE Engineer
Added 1 hour ago
QW
GCP Cloud SRE Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Experience with SRE practices, observability, incident management, and automation.
Added 1 hour ago
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Senior Data Engineer
HCLTech
Toronto, ON
- $90,000 to $120,000 CAD / year
- Full-time
We are seeking a hands-on Senior Data Engineer to lead the development, support, and continuous improvement of our Azure-based data platform. This role combines data engineering, platform…
Added 1 hour ago
ZS
Quality Engineer / SDET – AI Chatbot Validation
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Develop and maintain test automation for chatbot validation where possible.
Added 1 hour ago
KG
QE / SDET – AI Chatbot & GenAI Validation
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
We are seeking an experienced Quality Engineer (QE) / SDET specializing in AI Chatbot Validation to lead the quality assurance, accuracy testing, and response analysis of our conversational…
Added 1 hour ago
ZC
Automation Engineer
Zurich Canada
Toronto, ON
- Full-time
Zurich Canada is currently looking for an Entry-Level Automation Engineer to join our technology team. This is an exciting opportunity for an early-career technology professional who is…
Added 1 hour ago
RI
Network security / Firewall Consultant
Raas Infotek
Calgary, AB
- Contract
PCNSE (Palo Alto Networks Certified Network Security Engineer)
Added 1 hour ago
JG
GCP Infrastructure & Cloud SRE Engineer
J&M Group
Toronto, ON
- Full-time
Experience with SRE practices, observability, incident management, and automation.
Added 1 hour ago
TI
DevOps Engineer, Capital Markets
Themesoft Inc.
Halifax, NS
- Contract
As a solution engineer, you will be responsible for supporting application teams in all their DevOps needs and implementation. You will be working directly with the application teams to…

Charger Logistics Inc

Senior AI Engineer

Brampton, ON, Canada

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Job details

Posting language: English
Posted: Oct 6, 2026

Original 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 Sr. 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.

4 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.

Competitive Salary
Healthcare Benefit Package
Career Growth

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More about this job

Responsibilities

Design, develop, and deploy MCP servers and multi-agent workflows to automate logistics operations such as billing and fleet management. Collaborate with cross-functional teams to translate operational requirements into scalable AI agent capabilities using Kubernetes and GitOps practices.

Requirements

Requires a Bachelor's degree in Computer Science or a related field and at least 4 years of professional experience. Candidates must possess strong proficiency in Python, LLM integration, knowledge retrieval patterns, and container orchestration.

Skills

Python
LLM Integration
Kubernetes
RAG
KAG
CAG
SQL
BigQuery
Snowflake
REST APIs
Microservices Architecture
Prompt Engineering
Function Calling
GitOps
Agent Orchestration

Benefits

Healthcare Benefit Package
Career Growth

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Logistics
MCP
Model Context Protocol
Python
LLM
RAG
KAG
CAG
Kubernetes
GitOps
SQL
BigQuery
Snowflake
Microservices
REST APIs
Prompt Engineering
Function Calling
Agent Orchestration
Automation
Data Pipelines
Observability
Cloud Platforms
Knowledge Graphs
Streaming Data

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