Artificial Intelligence Engineer

NEXadept; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

NEXadept in Singapore is seeking a Senior AI Engineer to build scalable AI solutions for retail and supply chain, shaping architecture and cloud infrastructure. You will transform research models into production-grade software and collaborate with the engineering team to deliver reliable systems across platforms.

You will design modular software, deploy microservices, and implement DevOps/MLOps practices, supporting AWS/GCP/Azure.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Operations Research or related field.
• 4+ years of experience in AI/ML Engineering or Software Engineering with production systems.
• Strong proficiency in Python and software development.

Responsibilities

• Design and develop modular, scalable, production-ready software for cloud and on-premise environments.
• Re-architect systems to convert complex retail and business requirements into scalable components.
• Build AI-driven systems that integrate research models into robust commercial solutions.
• Develop and maintain microservices, APIs and system architecture.
• Improve DevOps/MLOps practices and coding standards.
• Support cloud deployments across AWS, GCP or Azure.

Skills

Python

Microservices

API design

Docker

Kubernetes

CI/CD

Cloud platforms

Education

Bachelor's or Master's in CS/AI/OR

Tools

Docker

Kubernetes

CI/CD

Airflow/Prefect/Ray

Job description

Our Client is looking for a Senior AI Engineer with strong experience in AI/ML engineering, software development and production deployment. The role will focus on building scalable AI solutions for retail and supply chain applications, while contributing to system architecture, cloud infrastructure and engineering best practices.

You will work closely with the engineering team to transform AI/ML models and complex business requirements into reliable, scalable and production-ready software solutions.

Key Responsibilities

• Design and develop modular, scalable and production-ready software that can be deployed across cloud and on-premise environments.
• Re-architect existing systems and convert complex retail and business requirements into scalable and reusable software components.
• Design and build AI-driven systems that integrate research models into robust commercial solutions.
• Develop and maintain microservices, APIs and system architecture.
• Improve software development processes, coding standards and DevOps/MLOps practices.
• Support cloud deployment across platforms such as AWS, GCP or Azure.
• Conduct code reviews and provide technical guidance to other engineers.
• Ensure solutions meet appropriate standards for security, performance, scalability and maintainability.

Requirements

• Bachelor's or Master's degree in Computer Science, AI, Operations Research or a related field.
• 4+ years of experience in AI/ML Engineering or Software Engineering, with experience building and deploying production systems.
• Strong proficiency in Python and software development.
• Hands-on experience with Docker, Kubernetes and CI/CD.
• Experience with Infrastructure as Code and at least one major cloud platform.
• Strong understanding of Microservices, API design and System Architecture.
• Experience with SQL/NoSQL databases and software testing frameworks such as PyTest.
• Experience deploying AI/ML models into production.
• Familiarity with MLOps/orchestration tools such as Airflow, Prefect or Ray is a plus.
• Experience in inventory optimization, demand forecasting or supply chain AI is highly preferred.