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-cl…
Sr. AD, Value & Access, Innovation and Strategy Integration
Brampton, Ontario, Canada · On-site
Senior
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SR Director, Medical Affairs Lead - Metabolic/Obesity (Hybrid)
Brampton, Ontario, Canada · Hybrid
$250k–$394k/yr
Senior+
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Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence…
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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-cl…
Skills: Lead Generation, Cold Calling, Sales Analysis, CRM Management, Market Research
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-cl…
Skills: SQL, Tableau, Data Analysis, Pricing Strategy, Claims Management
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-cl…
Skills: Data Analysis, Power BI, Tableau, Excel, Financial Modeling
Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's larges…
Skills: Project Management, Retail Merchandising, SAP, Microsoft Excel, Data Analysis
Clorox is the place that’s committed to growth – for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact o…
Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's larges…
Skills: Program Management, Agile Delivery, Financial Acumen, People Leadership, Stakeholder Collaboration
Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's larges…
Skills: IT Change Management, ITIL, Risk Management, Governance, Stakeholder Management
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Full-time
bachelor degree
Healthcare Benefit Package, Career Growth
Posted 9h ago
~40 hrs/week
Responsibilities
Design and deploy MCP servers and multi-agent workflows to automate logistics operations such as dispatch, billing, and compliance. Develop hybrid knowledge retrieval pipelines using RAG, KAG, and CAG strategies to improve AI application reliability.
Requirements
Requires a Bachelor's degree in Computer Science or AI and professional experience building production-grade AI applications in Python. Proficiency in LLM integration, container orchestration with Kubernetes, and analytical data platforms is essential.
Full 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.
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
Related keywords
AI EngineerModel Context ProtocolMCPRAGKAGCAGLLMPythonKubernetesGitOpsBigQuerySnowflakeSQLMicroservicesREST APIsAgent Orchestration
Charger Logistics' strives to offer the best client focused logistics solution. We start with flexibility. By offering various safe and efficient solutions for all product sizes, weights and sensitivities our limits are minimal. Additionally, our network, various locations throughout North America and fleet size allow us to offer our clients what they need every time.
Charger Logistics was founded in the early 2000's and has grown by leaps and bounds since then. From owning a single truck to owning a fleet of over eight-hundred trucks, two-thousand trailers including reefers, dry vans, chassis, flat beds, step decks and more! A lot has changed however, our commitment to our clients will never change.
Offices: 25 Production Road, Brampton, Ontario L6T4N8, CA
How many Data & Analytics jobs are open in Brampton, Canada right now?
There are currently 74 open data & analytics positions in Brampton, Canada listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Brampton, Canada?
Companies currently hiring include Loblaw Companies Limited, Boehringer Ingelheim, Charger Logistics Inc., Region of Peel, SUN PHARMA, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Brampton, Canada?
Yes — 30 of the 74 open data & analytics positions offer remote or hybrid work (5 remote, 25 hybrid).
How do I apply for Data & Analytics jobs in Brampton, Canada?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.