AI-Driven Backend Engineer for Secure, Scalable AI Services

United States Digital Space LLC; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

CMC APAC Pte. Ltd. in Singapore is seeking a Backend Engineer to design, build, deploy, and operate secure backend services that power AI, data, and digital transformation solutions.

You will collaborate with product, policy, data, cybersecurity, DevOps, and platform teams to translate requirements into reliable production systems and scalable pipelines. The role emphasizes responsible AI, testing, monitoring, and production support across environments.

Qualifications

• Degree in Computer Science, Software Engineering, or related IT field.
• 1–2 years of AI/engineering or software development experience.
• Hands-on backend development with Python and API work.
• Experience with AI/ML libraries and model workflows.
• Familiarity with cloud platforms (AWS) and CI/CD practices.
• Strong debugging, documentation, and collaboration skills.

Responsibilities

• Design and implement backend services for AI-enabled digital services.
• Translate business and policy requirements into technical designs.
• Build model pipelines, prompt workflows, and integration points.
• Test models for accuracy, reliability, and safety.
• Support secure deployment and monitoring, logging, and risk reviews.
• Collaborate across DevOps, cybersecurity, data, and platform teams.

Skills

Python

APIs

ML/AI libraries

LLMs

Prompt engineering

Embeddings

Vector databases

RAG

MLOps/LLMOps

Monitoring

Logging

CI/CD

DevSecOps

Version control

Documentation

Cloud AWS

Education

Bachelor's degree in Computer Science, Software Engineering, or related IT field

Tools

AWS

GitLab CI/CD

Job description

CMC APAC Pte. Ltd. in Singapore is seeking a Backend Engineer to design, build, deploy, and operate secure backend services that power AI, data, and digital transformation solutions.

You will collaborate with product, policy, data, cybersecurity, DevOps, and platform teams to translate requirements into reliable production systems and scalable pipelines. The role emphasizes responsible AI, testing, monitoring, and production support across environments.