About the Client:
Our client is a premier, highly respected financial institution charged with maintaining the stability and integrity of major monetary systems. They are currently embarking on an exciting multi-year digitalization journey, radically simplifying their business and IT landscape. To support this vision, they are heavily investing in and expanding their elite AI & Innovation team. This is an unparalleled opportunity to work at the intersection of enterprise-grade financial technology and cutting-edge artificial intelligence.
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The Role, Responsibilities, and Landscape:Â As a QA Engineer embedded in the AI & Innovation team, you will move beyond standard application testing to pioneer quality assurance for advanced AI platforms. Your day-to-day will involve:
Designing and implementing QA solutions and AI governance frameworks to ensure the quality, reliability, and compliance of AI applications.
Working intimately with data scientists and AI engineers to safely integrate Generative-AI models (including LLMs and RAG) into production environments.
Maintaining and developing full-stack web applications to ensure high performance and scalability.
Designing robust CI/CD pipelines incorporating automated testing, security scanning, and seamless deployments across multiple environments.
Diagnosing production issues through rigorous root-cause analysis to continuously improve system reliability.
Ensuring comprehensive documentation of test plans, APIs, and architectures to maintain audit readiness.
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What We Are Looking For:
A Bachelor’s degree in Computer Science, Information Technology, or a directly related technical field.
4+ years of robust, hands-on experience in QA testing and automation tooling.
Mandatory proficiency in modern test frameworks like Cypress, Playwright, or Selenium , alongside test management tools (e.g., TestRail, Zephyr).
Strict requirement for experience across the following stack: JavaScript/TypeScript, React/Angular/Next.js, Node.js, and PostgreSQL.
Proven capabilities in building and maintaining CI/CD pipelines (GitLab CI, Jenkins) and utilizing Infrastructure-as-Code (Terraform, Ansible).
A solid grasp of major cloud platforms (AWS, Azure, or GCP) and Kubernetes orchestration.
Highly Advantageous: Exposure to AI governance assessments, AI evaluation frameworks (RAGAS, Promptfoo, LangSmith) , and AI/ML libraries (TensorFlow, PyTorch, LangChain).
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Why apply to this role: You will be at the absolute forefront of enterprise AI adoption, working with emerging Generative AI tech in a highly secure, high-stakes environment. You will gain incredibly rare, highly marketable skills in AI governance and LLM evaluation frameworks. Furthermore, this role offers the stability of a 12-month renewable contract within an internationally diverse team setting, offering excellent work-life balance and the prestige of a tier-one financial brand on your resume.
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If this outstanding opportunity sounds like your next career move, please submit through "Apply Now" or send your resume in Word format to Cherise Wong at resume@pinpointasia.com and put QA Automation Engineer - AI / Gen-AI - J12731 in the subject header.
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Data provided is for recruitment purposes only.
