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.
Charger logistics invests time and support into its employees to provide them with the room to learn and grow their expertise and work their way up. We are entrepreneurial-minded organization that welcomes and support individual idea and strategies.We are seeking an AI Agent Developer to design, build, and deploy intelligent agents that can operate autonomously within digital environments. The role focuses on creating controllable, stateful AI systems using LangGraph's low-level agent orchestration framework.
Agent Development & Architecture:

• Design, implement, and optimize using LangGraph / LangChain agents that can effectively communicate and analyze data
• Build production-ready, stateful AI workflows with complex cognitive architectures
• Understand and apply scripting conventions used in LangGraph to validate agent responses and detect logic errors
• Develop multi-agent systems with coordinated workflows and state management

Technical Implementation:

• Create robust API layers for agent communication using frameworks like FastAPI or Node.js
• Build a robust, secure, and scalable API layer to allow your mobile app to communicate with the LangGraph agent
• Implement debugging and monitoring systems for agent behavior
• Deploy and scale agents using LangGraph Platform with proper state management

System Integration:

• Integrate agents with external data sources and APIs
• Build agentic search capabilities and tool orchestration
• Develop flow-based applications with controllable agent behaviors
• Ensure production reliability and performance optimizatio

Requirements:
Technical Skills:

• Python Programming: Strong proficiency in Python development
• LangGraph/LangChain: Hands-on experience with LangGraph framework and LangChain ecosystem
• Large Language Models (LLMs): Understanding of LLM integration and prompt engineering
• API Development: Experience with REST APIs, FastAPI, or similar frameworks
• Machine Learning: Background in ML concepts and AI model deployment

Specialized Knowledge:

• Familiarity with LangGraph, AutoGen, or other agent orchestration frameworks
• Understanding of agent architectures, state management, and workflow orchestration
• Experience with agentic AI patterns like ReAct, planning, and tool usage
• Knowledge of vector databases and retrieval systems

Soft Skills:

• Problem-solving mindset with AI system design
• Coordinate regularly with engineering teams
• Experience with debugging complex AI systems
• Understanding of production deployment challenges

Experience Level:

• 2-5 years in AI/ML development
• 1-2 years specific experience with LangGraph or similar agent frameworks
• Experience building production AI applications

Benefits:

• Hands-on role in shaping talent capability in a high-growth international setting.

• Supportive leadership and collaboration with global teams across North America and Latin America

• Growth in a people-centered, process-driven, and impact-oriented culture.
• Career Growth.