GenAI Security & Quality Engineer — AI Safety & Assurance

Capgemini Engineering; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible work practices

40 hours self-development per year

Learning opportunities

Job summary

Capgemini Singapore seeks a highly technical Software Engineer to strengthen AI security, compliance, and quality assurance for an enterprise-grade Generative AI platform. The role focuses on AI security assurance, implementing Moonshot and Litmus testing, and advising on secure data handling and architecture.

You will work with product, engineering, security, governance, and business teams, combining hands-on security testing with architectural judgement.

Qualifications

• 3+ years of relevant experience in software engineering, cybersecurity, AI assurance, SDET, or technical QA automation.
• Practical understanding of security risks affecting LLM, RAG, and agentic applications.
• Hands-on experience with Moonshot, Litmus, or comparable AI evaluation tools; ability to design custom scenarios and interpret results.

Responsibilities

• AI Security Testing: design and execute AI-specific security assessments for LLM, RAG and agentic apps.
• Moonshot & Litmus implementation: configure test suites and manage adversarial scenarios for assurance reviews.
• Software test automation: build and maintain automated tests using Pytest, Playwright, Cypress, or Postman.

Skills

Python programming

Security testing

AI assurance

CI/CD

Tools

Pytest

Playwright

Cypress

Postman

Job description

Capgemini Singapore seeks a highly technical Software Engineer to strengthen AI security, compliance, and quality assurance for an enterprise-grade Generative AI platform. The role focuses on AI security assurance, implementing Moonshot and Litmus testing, and advising on secure data handling and architecture.

You will work with product, engineering, security, governance, and business teams, combining hands-on security testing with architectural judgement.