Logistics AI Solutions Engineer for Exec Decision Tools

Argyll Scott Singapore; Hong Kong; On-site; HKD 1,000,000 - 2,000,000; Full time

Job summary

Argyll Scott Asia is representing a leading global supply chain and logistics group seeking an AI Solutions Engineer in Hong Kong. The role focuses on engineering practical AI systems, agentic workflows, and decision-support tools that accelerate executive decision-making.

You will design autonomous agents, deploy LLMs in production, ensure governance and security, and deliver executive dashboards for C-suite planning.

Qualifications

• 8+ years of hands-on software, data, or AI engineering experience with production shipping.
• Proven experience deploying LLMs in production including agent frameworks, RAG architectures, vector databases, and tool orchestration.
• Advanced Python for backend development, automation, and data pipelines, alongside experience building REST/gRPC APIs and microservices.
• Hands-on cloud engineering experience (AWS, Azure, or GCP) with CI/CD, testing, infrastructure automation, and core MLOps/LLMOps practices.
• Demonstrated ability to design clean visual interfaces and dashboards for executive decision-makers.
• Bachelor’s degree in CS, Software Engineering, Data Science, Mathematics, or related field.

Responsibilities

• Design and deploy autonomous agents and RAG architectures for operational data.
• Build scalable backend services, APIs, and data workflows.
• Establish end-to-end LLM lifecycle pipelines: packaging, deployment, monitoring, and rollback.
• Ensure governance, security guardrails, and enterprise data privacy.
• Develop executive dashboards for C-suite decision-making.

Skills

Advanced Python

REST APIs

Cloud engineering

CI/CD

LLMOps

Dashboards for execs

Data pipelines

Education

Bachelor's degree in CS/SE/DS

Tools

Docker

Kubernetes

MLflow

Kubeflow

Vector databases

Job description

Argyll Scott Asia is representing a leading global supply chain and logistics group seeking an AI Solutions Engineer in Hong Kong. The role focuses on engineering practical AI systems, agentic workflows, and decision-support tools that accelerate executive decision-making.

You will design autonomous agents, deploy LLMs in production, ensure governance and security, and deliver executive dashboards for C-suite planning.