Backend Engineer – AI Solutions

CMC-APAC PRIVATE LIMITED; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

CMC-APAC PRIVATE LIMITED is seeking a Backend Engineer in Singapore to design, build, deploy, and operate secure backend services for AI-enabled digital services. You will collaborate with product, policy, data, cybersecurity, DevOps, and platform teams to translate needs into production-ready systems.

You will work on model pipelines, prompt workflows, and retrieval-augmented generation solutions, ensuring testing for accuracy, reliability, and safety while upholding responsible AI practices

Qualifications

• Degree in Computer Science, Software Engineering, or a relevant IT field with 1–2 years of experience in AI engineering, machine learning engineering, data science, software engineering, or related technical roles.
• Hands-on experience developing backend services, APIs, integrations, or application components that support AI-enabled, enterprise, or digital services.
• Strong programming experience in Python, with familiarity in API development, testing, and commonly used AI / machine learning libraries or frameworks.

Responsibilities

• Design, develop, and implement backend services that support machine learning, generative AI, and other intelligent digital services.
• Translate business, policy, and operational requirements into solution designs, technical specifications, and implementation plans.
• Build and maintain backend services for model pipelines, prompt workflows, retrieval-augmented generation solutions, APIs, integrations, and evaluation scripts.

Skills

Python

API development

Backend development

MLOps

Troubleshooting

Education

Bachelor's degree in Computer Science

Tools

GitLab CI/CD

AWS

Job description

About This Role

As a Backend Engineer, you will design, build, deploy, and operate secure backend services that enable AI, machine learning, and generative AI solutions for digital services. You will work closely with product, policy, data, cybersecurity, DevOps, and platform teams to translate operational needs into reliable, production-ready systems. You are a proactive, self-motivated, and resourceful team member with strong software engineering fundamentals, backend development experience, and an interest in applying backend engineering practices to AI-enabled products and platforms.

What You Will Be Working On

• Design, develop, and implement backend services that support machine learning, generative AI, and other intelligent digital services.
• Translate business, policy, and operational requirements into solution designs, technical specifications, and implementation plans.
• Build and maintain backend services for model pipelines, prompt workflows, retrieval-augmented generation solutions, APIs, integrations, and evaluation scripts.
• Conduct model and solution testing to assess accuracy, reliability, robustness, safety, bias, and fitness-for-purpose.
• Support the implementation of responsible AI controls, including guardrails, human oversight, audit logs, access controls, and explainability measures.
• Work with DevOps, cybersecurity, data, and platform teams to deploy AI solutions securely on approved enterprise environments.
• Support monitoring of deployed solutions for model drift, hallucination risks, performance degradation, operational errors, and security concerns.
• Assist in risk reviews, security compliance activities, vulnerability assessments, remediation tracking, and audit documentation.
• Provide technical support, troubleshooting, and optimisation for AI solutions across development, UAT, staging, and production environments.

What We Are Looking For

• Degree in Computer Science, Software Engineering, or a relevant IT field with 1–2 years of experience in AI engineering, machine learning engineering, data science, software engineering, or related technical roles.
• Hands-on experience developing backend services, APIs, integrations, or application components that support AI-enabled, enterprise, or digital services.
• Strong programming experience in Python, with familiarity in API development, testing, and commonly used AI / machine learning libraries or frameworks.
• Experience with large language models, prompt engineering, embeddings, vector databases, retrieval-augmented generation, or AI agent workflows.
• Good understanding of data preparation, model evaluation, MLOps / LLMOps, monitoring, logging, and production support practices.
• Understanding of responsible AI, AI governance, data protection, security, privacy, and risk management considerations.
• Experience with cloud environments such as AWS or other enterprise cloud platforms.
• Familiarity with CI/CD, DevSecOps, version control, testing, monitoring, logging, and operational support processes.
• Strong troubleshooting methodology and ability to resolve issues across data, model, application, integration, and infrastructure layers.
• Good communication and documentation skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.

Preferred Skills

• Experience implementing AI-enabled solutions in public sector, enterprise, or regulated industry environments.
• Familiarity with responsible AI frameworks, AI safety testing, model evaluation, red-teaming, and risk assessment approaches.
• Exposure to AWS AI/ML services, GitLab CI/CD, or similar secure delivery platforms.
• Knowledge of enterprise monitoring, log analytics, security monitoring, and automated evaluation pipelines.
• Experience working in collaborative environments and Agile development methodologies.
• Strong analytical thinking, systematic problem-solving, and the ability to manage multiple concurrent priorities.