Backend Engineer: AI for Government Systems

FPT Asia Pacific; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

FPT Asia Pacific is hiring a Backend Engineer to design, build, deploy, and operate secure backend services enabling AI, machine learning, and generative AI solutions for government systems and digital services. You will collaborate with product, policy, data, cybersecurity, DevOps, and platform teams to translate needs into reliable, production-ready systems.

You will focus on model pipelines, prompt workflows, and retrieval-augmented generation, ensuring responsible AI controls and secure

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 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.

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 explainability 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.

Skills

Python

API development

LLMOps

ML libraries

Prompt engineering

Vector databases

Cloud skills

CI/CD

Security & governance

Testing & monitoring

Education

Degree in Computer Science or Software Engineering

Tools

AWS

GCC

GitLab CI/CD

CI/CD

Job description

FPT Asia Pacific is hiring a Backend Engineer to design, build, deploy, and operate secure backend services enabling AI, machine learning, and generative AI solutions for government systems and digital services. You will collaborate with product, policy, data, cybersecurity, DevOps, and platform teams to translate needs into reliable, production-ready systems.

You will focus on model pipelines, prompt workflows, and retrieval-augmented generation, ensuring responsible AI controls and secure