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.
The Role, Responsibilities, and Landscape: 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.
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).
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.