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Added 38 mins ago
T
Actuarial Analyst
TD
Toronto, ON · Montreal, QC · Quebec, QC
- Full-time
Knowledge of modern data architecture and big data technologies (Databricks, Snowflake, Spark, etc.)
Added 40 mins ago
IS
Senior Data Engineer
Iris Software Inc.
Mississauga, ON
- Contract
5-8 years SQL & Python; cloud data platform experience (Snowflake highly preferred)
Added 40 mins ago
B
Senior BSA / Data Migration Specialist
Bench
Toronto, ON
- Full-time
…across Salesforce and surrounding data ecosystems, including Snowflake, IBM DataStage, Tableau, and legacy…
Added 40 mins ago
H
Senior Python Engineer - Data Platforms
Highspring
Montreal, QC
- Full-time
Plateformes de données : Databricks, Snowflake
Added 1 hour ago
A
Terraform Developer / HALIFAX, NS (Onsite) - FTE
AceStack
Halifax, NS
- Full-time
We are looking for a Terraform Developer / Cloud Infrastructure Engineer with strong hands-on experience in Azure, Terraform, Kubernetes, CI/CD, Python, Databricks, and Snowflake. The ideal…
Added 1 hour ago
IS
Data Engineer Tech Lead
Iris Software Inc.
Mississauga, ON
- Contract
Must have skills5-8 years SQL & Python; cloud data platform experience (Snowflake highly preferred)
Added 1 hour ago
F
Infrastructure Architecture - Senior Professional I
Fiserv
Toronto, ON
- Full-time
· Familiarity with Snowflake and Data Streaming services (MSK, Kafka, Confluent).
Added 1 hour ago
Data Engineer - Analytics
Capgemini
Montreal, QC
Leverage Python, SQL, Snowflake, Power Platform, Power Automate, repositories, SDLC practices, source control, GitHub Copilot, and AI-assisted development to deliver scalable solutions.
Added 1 hour ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Ottawa, ON
- Contract
Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.
Added 1 hour ago
S
Senior Data Engineer
Scene+
Toronto, ON
- Full-time
Operational excellence. You will work at the core of a modern cloud-native environment -Snowflake, AWS, Matillion, Salesforce Data Cloud - driving automation, governance, and performance…
Added 2 hours ago
IF
Student - Data Science, Modeling and AI
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Has experience with Azure, Azure Machine Learning, Azure OpenAI, Snowflake, or another cloud platform (an asset).
Added 2 hours ago
IF
IT Solutions and Data Designer
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Has experience with Azure, Snowflake, Databricks, or similar technologies, which is considered an asset;
Added 3 hours ago
M
Innovative Data Platform Solution Engineer
Microsoft
Toronto, ON
- Full-time
Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and…
Added 5 hours ago
TI
Semantic Modeller
TS Imagine
Montreal, QC
- Full-time
…data points and manages our cutting-edge data lake built on…
Added 6 hours ago
SM
Senior Manager, Business Insights
Spin Master
Toronto, ON
- Full-time
Technical Stack: Strong SQL skills (BigQuery, Snowflake, or Redshift). Experience with Git/version control workflows.
Added 6 hours ago
CO
Intern, Data Scientist - Summer 2027
Capital One
Toronto, ON
- Full-time
Transform data into data structures in our data lake and Snowflake data warehouse that are leveraged for business decision making.
Added 9 hours ago
Specialist Product Ownership - BI Solution (12-months contract)
Nestle Operational Services Worldwide SA
Toronto, ON · North York, ON
Leverage modern technologies including Power BI, Azure, Snowflake, Power Platform, and AI capabilities to enhance reporting, automation, and business performance.
Added 12 hours ago
A
Product Support Engineer - NAMER
Ashby
Canada
- Full-time
…2025 and support nearly 5,000 customers, including Shopify, Snowflake, OpenAI, Deliveroo, and Confluent. We’re growing much faster than 100% year over year, with a team of…
Added 13 hours ago
Senior Visualization Professional
Capgemini
Mississauga, ON
- Integrate Power BI with Azure Databricks, Fabric, SQL Server, Synapse, Snowflake, and other enterprise platforms.
Added 15 hours ago
TI
Sr. Analytics Developer
TTI, Inc.
Toronto, ON
- Full-time
The Sr. Analytics Developer is responsible for leading the design, development, and optimization of analytics solutions and data models that empower decision-making across TTI Canada.
Added 16 hours ago
AI Engineer Intern (Masters)
Electronic Arts
Vancouver, BC
Experience with one or more data lakehouse solutions, like Snowflake, Trino, Redshift, or Spark.
Added 18 hours ago
Senior AI Engineer
Charger Logistics Inc
Brampton, ON
Proficiency with SQL and at least one analytical data platform (BigQuery, Snowflake, or similar).
Added 18 hours ago
Gestionnaire des services TI / IT Service Manager
mthree
Montreal, QC
Added 18 hours ago
P&
Architecte de données / Data Architect
Pratt & Whitney
Longueuil, QC
- Full-time
Expérience pratique des plateformes d’entreposage de données et de lacs de données, notamment Snowflake et Databricks.
Added 18 hours ago
T
Microsoft Fabric & Airflow Resource
TechDoQuest
Brampton, ON
- Contract
Conduct interoperability testing with Databricks and Snowflake to ensure seamless integration.

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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