AI Engineer

About the Company

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.

Responsibilities

• Design, develop, and deploy MCP servers exposing domain services as AI-consumable tools
• Build multi-agent workflows using orchestration frameworks and agent-to-agent communication protocols
• Develop and optimize knowledge retrieval pipelines using RAG, KAG, and CAG strategies
• Design hybrid retrieval architectures for static and dynamic operational queries
• Implement LLM integration layers including prompt engineering and function calling
• Collaborate with cross-functional teams to translate workflows into agent capabilities
• Deploy and maintain agent infrastructure on Kubernetes with GitOps practices

Requirements

• Bachelor's in Computer Science, Artificial Intelligence, or a related technical field
• Experience building production-grade AI applications in Python
• Hands-on proficiency with LLM integration (OpenAI, Anthropic, or Google APIs)
• Solid understanding of knowledge retrieval patterns like RAG, KAG, and CAG
• Proficiency with SQL and analytical data platforms like BigQuery or Snowflake
• Experience with cloud platforms and Kubernetes
• Strong communication skills and experience in team-based environments

Preferred Qualifications

• Background in MCP, agent orchestration frameworks, knowledge graphs, or streaming data systems