- Outram Central Region (Singapore) Singapore
Full Time Software Engineer –AI Security - Quality (GenAI) Jobs, Salary up to SGD 8,000 in Cmc-apac Private Limited Central Region (Singapore) - Maukerja
Software Engineer –AI Security - Quality (GenAI)
Cmc-apac Private Limited
Share
Save
Working Location
Job Description
Responsibilities
Position Overview
Seeking a highly technical Software Engineer focused on strengthening the security posture, compliance controls, and quality assurance practices of enterprise Generative AI and agent orchestration solutions. The role centers on AI security testing, governance, assurance, risk assessment, and solution review, while also supporting software test automation initiatives.
Primary Duties
AI Security Assessments
Perform security and safety assessments of LLM, RAG, and agentic applications.
Evaluate risks including prompt injection, jailbreak attempts, unauthorized data disclosure, unsafe outputs, excessive permissions, tool misuse, and tenant isolation weaknesses.
Conduct AI-focused assurance activities and threat assessments.
Moonshot & Litmus Operations
Implement Moonshot and Litmus testing for applicable AI solutions.
Configure baseline and use-case-specific testing scenarios.
Develop adversarial test cases, analyze outcomes, and maintain assurance evidence.
AI Evaluation & Data Governance
Create representative datasets for security, safety, and functional validation.
Generate and manage synthetic test data securely.
Ensure data classification, masking, anonymization, retention, and disposal controls are enforced.
Security Governance & Risk Advisory
Translate organizational, security, and AI governance requirements into practical controls and testing activities.
Advise stakeholders regarding secure use of enterprise and sensitive data within AI solutions.
Review data access, tenant isolation, retention policies, logging, integrations, retrieval boundaries, and service selection risks.
Support security reviews, audits, remediation efforts, and production readiness assessments.
Secure Architecture Review
Evaluate proposed AI solution architectures.
Identify privacy, security, and compliance concerns.
Recommend mitigation measures and security-by-design practices throughout the development lifecycle.
Findings Management & Reporting
Document vulnerabilities, control weaknesses, impacts, risks, and remediation recommendations.
Verify remediation effectiveness with engineering teams.
Communicate technical and non-technical risks to stakeholders.
Track trends, recurring issues, and assurance metrics.
Security Automation Integration
Embed automated AI security validation into CI/CD workflows.
Establish release gates, regression checks, and security acceptance criteria.
Prevent material risks from reaching production environments.
Secondary Responsibilities
Test Automation Engineering
Develop automated API, regression, functional, and end-to-end tests.
Utilize tools such as Pytest, Playwright, Cypress, Postman, or equivalent technologies.
Root Cause Analysis
Investigate defects and operational issues.
Review application logs and cloud environments to identify root causes.
Produce actionable defect documentation.
Quality Enablement
Promote consistent testing standards and reusable testing assets.
Support shared ownership of product quality across teams.
Required Qualifications
Professional Experience
Minimum 3 years of experience in software engineering, cybersecurity, application security, AI assurance, software test engineering, or technical quality assurance.
AI Security Expertise
Strong understanding of security risks affecting LLM, RAG, and agentic systems.
Knowledge of prompt injection, unsafe outputs, excessive privileges, data leakage, application abuse, and insecure tool integrations.
AI Testing Platforms
Experience working with Moonshot, Litmus, or comparable AI evaluation and adversarial testing frameworks.
Ability to design test scenarios and interpret assurance results.
Security & Compliance Knowledge
Experience translating privacy, security, and AI governance requirements into controls, risk assessments, assurance evidence, and testing plans.
Architecture Review Skills
Experience evaluating system architectures, trust boundaries, cloud environments, and integration risks.
Ability to recommend secure and proportionate technical solutions.
Stakeholder Collaboration
Strong communication and consulting capabilities.
Able to explain risks, challenge assumptions, and influence secure implementation decisions.
Software Development & Automation
Proficiency in Python.
Working knowledge of JavaScript or TypeScript.
Experience with API, regression, functional, and end-to-end test automation.
Cloud & Data Security
Familiarity with AWS environments, SQL databases, container platforms, encryption, logging, access management, data classification, retention controls, and secure handling of sensitive information.
Preferred Experience
AI red-team exercises, AI threat modeling, security assurance, or application security review experience.
Familiarity with industry guidance such as OWASP GenAI Security Project, NIST AI Risk Management Framework, or MITRE ATLAS.
Experience testing RAG architectures, agent tooling, model integrations, RBAC implementations, tenant isolation controls, and AI-specific attack surfaces.
Experience supporting environments with stringent security and compliance requirements.
Company Overview – CMC APAC
CMC APAC Pte. Ltd.
, a member of
CMC Global
under
CMC Corporation,
is a Singapore-based regional hub delivering ICT and digital transformation solutions across the Asia-Pacific region.
As the Asia-Pacific arm of CMC Global, CMC APAC extends the Group’s technological expertise into one of the world’s most dynamic digital markets. Building on a strong foundation as a leading digital transformation (DX) provider in Vietnam, we serve as a strategic hub for delivering AI, Data, Cloud, and next-generation technology solutions across the region.
About CMC Global
CMC Global is a leading technology and AI transformation services provider, serving over 300 global clients across industries such as:
Banking & Financial Services
Healthcare
Manufacturing
Automotive
The company delivers end-to-end solutions in AI, Data, Cloud, and Digital Transformation, supporting enterprises in solving complex business challenges at scale.
Founded in 2017, CMC Global builds upon the long-standing legacy of CMC Corporation (established in 1993), one of Vietnam’s leading technology groups, with a vision to bring Vietnamese ICT solutions to the global market.
Global Presence & Capabilities
With an international network spanning Asia-Pacific, Europe, and North America, CMC Global provides:
24/7 global delivery capability
Strong engineering talent pool
Scalable and cost-effective delivery models
At CMC APAC, we combine global delivery excellence with local market expertise to support enterprises in achieving:
Operational efficiency
Business growth
Sustainable, long-term value
Learn More
CMC APAC: https://cmc-apac.sg/
CMC Global: *************
Seeking a highly technical Software Engineer focused on strengthening the security posture, compliance controls, and quality assurance practices of enterprise Generative AI and agent orchestration solutions. The role centers on AI security testing, governance, assurance, risk assessment, and solution review, while also supporting software test automation initiatives.
Primary Duties
AI Security Assessments
Perform security and safety assessments of LLM, RAG, and agentic applications.
Evaluate risks including prompt injection, jailbreak attempts, unauthorized data disclosure, unsafe outputs, excessive permissions, tool misuse, and tenant isolation weaknesses.
Conduct AI-focused assurance activities and threat assessments.
Moonshot & Litmus Operations
Implement Moonshot and Litmus testing for applicable AI solutions.
Configure baseline and use-case-specific testing scenarios.
Develop adversarial test cases, analyze outcomes, and maintain assurance evidence.
AI Evaluation & Data Governance
Create representative datasets for security, safety, and functional validation.
Generate and manage synthetic test data securely.
Ensure data classification, masking, anonymization, retention, and disposal controls are enforced.
Security Governance & Risk Advisory
Translate organizational, security, and AI governance requirements into practical controls and testing activities.
Advise stakeholders regarding secure use of enterprise and sensitive data within AI solutions.
Review data access, tenant isolation, retention policies, logging, integrations, retrieval boundaries, and service selection risks.
Support security reviews, audits, remediation efforts, and production readiness assessments.
Secure Architecture Review
Evaluate proposed AI solution architectures.
Identify privacy, security, and compliance concerns.
Recommend mitigation measures and security-by-design practices throughout the development lifecycle.
Findings Management & Reporting
Document vulnerabilities, control weaknesses, impacts, risks, and remediation recommendations.
Verify remediation effectiveness with engineering teams.
Communicate technical and non-technical risks to stakeholders.
Track trends, recurring issues, and assurance metrics.
Security Automation Integration
Embed automated AI security validation into CI/CD workflows.
Establish release gates, regression checks, and security acceptance criteria.
Prevent material risks from reaching production environments.
Secondary Responsibilities
Test Automation Engineering
Develop automated API, regression, functional, and end-to-end tests.
Utilize tools such as Pytest, Playwright, Cypress, Postman, or equivalent technologies.
Root Cause Analysis
Investigate defects and operational issues.
Review application logs and cloud environments to identify root causes.
Produce actionable defect documentation.
Quality Enablement
Promote consistent testing standards and reusable testing assets.
Support shared ownership of product quality across teams.
Required Qualifications
Professional Experience
Minimum 3 years of experience in software engineering, cybersecurity, application security, AI assurance, software test engineering, or technical quality assurance.
AI Security Expertise
Strong understanding of security risks affecting LLM, RAG, and agentic systems.
Knowledge of prompt injection, unsafe outputs, excessive privileges, data leakage, application abuse, and insecure tool integrations.
AI Testing Platforms
Experience working with Moonshot, Litmus, or comparable AI evaluation and adversarial testing frameworks.
Ability to design test scenarios and interpret assurance results.
Security & Compliance Knowledge
Experience translating privacy, security, and AI governance requirements into controls, risk assessments, assurance evidence, and testing plans.
Architecture Review Skills
Experience evaluating system architectures, trust boundaries, cloud environments, and integration risks.
Ability to recommend secure and proportionate technical solutions.
Stakeholder Collaboration
Strong communication and consulting capabilities.
Able to explain risks, challenge assumptions, and influence secure implementation decisions.
Software Development & Automation
Proficiency in Python.
Working knowledge of JavaScript or TypeScript.
Experience with API, regression, functional, and end-to-end test automation.
Cloud & Data Security
Familiarity with AWS environments, SQL databases, container platforms, encryption, logging, access management, data classification, retention controls, and secure handling of sensitive information.
Preferred Experience
AI red-team exercises, AI threat modeling, security assurance, or application security review experience.
Familiarity with industry guidance such as OWASP GenAI Security Project, NIST AI Risk Management Framework, or MITRE ATLAS.
Experience testing RAG architectures, agent tooling, model integrations, RBAC implementations, tenant isolation controls, and AI-specific attack surfaces.
Experience supporting environments with stringent security and compliance requirements.
Company Overview – CMC APAC
CMC APAC Pte. Ltd.
, a member of
CMC Global
under
CMC Corporation,
is a Singapore-based regional hub delivering ICT and digital transformation solutions across the Asia-Pacific region.
As the Asia-Pacific arm of CMC Global, CMC APAC extends the Group’s technological expertise into one of the world’s most dynamic digital markets. Building on a strong foundation as a leading digital transformation (DX) provider in Vietnam, we serve as a strategic hub for delivering AI, Data, Cloud, and next-generation technology solutions across the region.
About CMC Global
CMC Global is a leading technology and AI transformation services provider, serving over 300 global clients across industries such as:
Banking & Financial Services
Healthcare
Manufacturing
Automotive
The company delivers end-to-end solutions in AI, Data, Cloud, and Digital Transformation, supporting enterprises in solving complex business challenges at scale.
Founded in 2017, CMC Global builds upon the long-standing legacy of CMC Corporation (established in 1993), one of Vietnam’s leading technology groups, with a vision to bring Vietnamese ICT solutions to the global market.
Global Presence & Capabilities
With an international network spanning Asia-Pacific, Europe, and North America, CMC Global provides:
24/7 global delivery capability
Strong engineering talent pool
Scalable and cost-effective delivery models
At CMC APAC, we combine global delivery excellence with local market expertise to support enterprises in achieving:
Operational efficiency
Business growth
Sustainable, long-term value
Learn More
CMC APAC: https://cmc-apac.sg/
CMC Global: *************
Important Information
Never provide your bank or credit card details when applying for jobs. Do not transfer any money or complete unrelated online surveys. If you see something suspicious, Report this Job ad.
Learn More