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
- 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
Skills Required
- Bachelor's in Computer Science, Artificial Intelligence, or related technical field
- Strong communication skills and experience in team environments
- Understanding of REST APIs and microservices architecture
- Experience building production-grade AI applications in Python
- Hands-on proficiency with LLM integration
- Understanding of knowledge retrieval patterns including RAG
- Proficiency with SQL and analytical data platforms
- Experience with cloud platforms and Kubernetes
- Background in MCP, agent orchestration frameworks, or knowledge graphs
What We Do
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.
