Highlights:

5 days work week, normal office working hour

Great exposure to Gov technology, AI-Enable platform

Location: Central

Responsibilities:

Design, develop, and implement backend services that support machine learning, generative AI, and other intelligent digital services for government use cases.

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 explain ability measures.

Work with DevOps, cybersecurity, data, and platform teams to deploy AI solutions securely on approved government environments, including GCC where applicable.

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.

Requirements:

Degree in Computer Science, Software Engineering, or a relevant IT field with 4 – 7 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 government 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 in the government context.

Experience with cloud environments such as AWS, GCC, or other approved 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.

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format to ••••@trustrecruit.com.sg or please click on “Apply Now” and provide the below details in your resume.

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