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.
Responsibility
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
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
Competitive Salary
Healthcare Benefit Package
Career Growth
