LangGraph AI Agent Developer

Charger Logistics; Brampton; On-site; CAD 60,000 - 80,000; Full time

Job summary

A leading logistics provider in Brampton is seeking an AI Agent Developer to design and deploy intelligent agents. This role involves optimizing LangGraph agents, building stateful AI workflows, and creating robust APIs. Ideal candidates have 2-5 years of AI/ML development experience and proficiencies in Python and agent frameworks. Competitive salary and career growth opportunities are offered.

Benefits

Competitive Salary

Healthcare Benefits

Career Growth Opportunities

Qualifications

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

Responsibilities

• Design, implement, and optimize LangGraph agents.
• Build production-ready, stateful AI workflows.
• Create robust API layers for agent communication.

Skills

Proficiency in Python programming

Hands-on experience with LangGraph framework

Understanding of Large Language Models (LLMs)

Experience with REST APIs

Background in Machine Learning concepts

Job description

Charger Logistics Inc. is a world-class asset-based carrier with locations across North America. With over 20 years of experience providing top logistics solutions, Charger Logistics has evolved into a leading transport provider and continues to grow.

We invest in our employees, offering opportunities to learn, grow, and advance. As an entrepreneurial-minded organization, we welcome and support individual ideas and strategies. We are seeking an AI Agent Developer to design, build, and deploy intelligent agents capable of operating autonomously within digital environments. The role involves creating controllable, stateful AI systems using LangGraph's low-level agent orchestration framework.

Responsibilities

Agent Development & Architecture

• Design, implement, and optimize LangGraph / LangChain agents for effective communication and data analysis
• Build production-ready, stateful AI workflows with complex cognitive architectures
• Apply scripting conventions in LangGraph to validate responses and detect errors
• Develop multi-agent systems with coordinated workflows and state management

Technical Implementation

• Create robust API layers for agent communication using frameworks like FastAPI
• Build secure, scalable APIs to enable communication between mobile apps and LangGraph agents
• Implement debugging and monitoring systems for agent behavior
• Deploy and scale agents using the LangGraph Platform with proper state management

System Integration

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

Requirements

Technical Skills

• Proficiency in Python programming
• Hands-on experience with LangGraph framework and LangChain ecosystem
• Understanding of Large Language Models (LLMs) and prompt engineering
• Experience with REST APIs, FastAPI, or similar frameworks
• Background in Machine Learning concepts and AI model deployment

Specialized Knowledge

• Familiarity with LangGraph, AutoGen, or other agent orchestration frameworks
• Knowledge 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 focused on AI system design
• Ability to coordinate with engineering teams regularly
• Experience debugging complex AI systems
• Understanding deployment challenges in production environments

Experience Level

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

Benefits

• Competitive Salary
• Healthcare Benefits
• Career Growth Opportunities