AI Agentic Engineer

About the role

We are seeking an Agentic AI Engineer to design and scale autonomous AI solutions within our Sea Logistics business.

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

Requirements

• 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
• Experience working with cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), and CI/CD pipelines
• Ability to design scalable architectures, including data pipelines, event-driven systems, and workflow automation
• Strong problem-solving skills with the ability to translate complex business or operational processes into technical solutions
• Excellent collaboration and communication skills, with a proactive mindset and the ability to work across cross-functional teams; logistics or freight forwarding experience is a plus

Qualifications

• Currently authorized to work in the United States on a full-time basis without the need for current or future employer sponsorship

Skills

• Python programming
• API integration
• Cloud platforms (AWS, Azure, GCP)
• Containerization (Docker/Kubernetes)
• CI/CD pipelines
• Scalable architecture design
• LLM understanding and optimization
• Problem-solving and translation of business processes
• Collaboration and communication skills

Benefits

• Competitive total rewards package including health and welfare benefits, a 401k retirement savings plan, tuition reimbursement, and incentive compensation for eligible roles

Pay

• Individual pay may vary from the target range and is determined by a number of factors including experience, skills, job location, internal pay equity, and other relevant business considerations

Schedule

• Base wage is part of a competitive total rewards package that includes health and welfare benefits, a 401k retirement savings plan, tuition reimbursement, and incentive compensation for eligible roles