Autonomous AI Agent Engineer - Logistics & Automation

Kuehne+Nagel; Detroit (MI); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health and welfare benefits

401k retirement savings plan

Tuition reimbursement

Incentive compensation for eligible rô

Job summary

Kuehne+Nagel seeks an Agentic AI Engineer to design and scale autonomous AI solutions within Sea Logistics. You will build AI agents capable of reasoning, planning, and executing tasks while integrating with ERP, CRM, WMS, and other systems.

Responsibilities include creating scalable AI frameworks, ensuring safety with guardrails, and optimizing performance across logistics workflows. This role requires strong Python skills and experience with cloud platforms and CI/CD pipelines.

Qualifications

• Proven experience building AI/ML or agent-based systems, ideally using frameworks such as LangChain, AutoGPT, CrewAI, or similar.
• Strong Python skills and experience integrating with APIs (REST, GraphQL, SOAP) and enterprise systems.
• Solid understanding of LLMs, including prompt engineering, RAG, model evaluation, and optimization for performance and reliability.

Responsibilities

• Architect and build AI agents capable of multi-step reasoning, decision-making, and autonomous task execution.
• Develop agent frameworks (e.g., LangChain, AutoGPT, CrewAI, ReAct) or custom solutions
• Integrate AI agents with enterprise systems (TMS, ERP, CRM, WMS) and external APIs
• Design scalable, modular components reusable across logistics workflows
• Implement guardrails, validation layers, and human-in-the-loop review processes
• Build monitoring, logging, and explainability capabilities for transparency and auditability
• Optimize agent performance (accuracy, latency, cost efficiency, token usage)
• Conduct benchmarking and real-world scenario testing
• Prototype and deploy high-impact use cases, such as autonomous customer support agents, AI-powered operations assistants, logistics planning and automation agents, data analysis and reporting tools
• Collaborate with product, engineering, data, and business teams to translate requirements into scalable AI solutions

Skills

AI/ML systems

Python

LLMs

Cloud platforms

System design

Problem solving

Cross-functional collaboration

Tools

LangChain

AutoGPT

CrewAI

Docker/Kubernetes

REST APIs

GraphQL

SOAP

Job description

Kuehne+Nagel seeks an Agentic AI Engineer to design and scale autonomous AI solutions within Sea Logistics. You will build AI agents capable of reasoning, planning, and executing tasks while integrating with ERP, CRM, WMS, and other systems.

Responsibilities include creating scalable AI frameworks, ensuring safety with guardrails, and optimizing performance across logistics workflows. This role requires strong Python skills and experience with cloud platforms and CI/CD pipelines.