Quality Assurance Engineer

Your new role Work closely with data scientists and AI engineers to integrate AI / Generative-AI models (e.g., Retrieval-Augmented Generation, LLMs) into production applications. Design, develop and maintain full-stack web applications (front-end, back-end and database) ensuring high performance, scalability and security. Design and operate CI/CD pipelines (GitLab CI, Jenkins) integrating unit, integration, and automated test execution, artefact management, security scanning, and deployments to

Hays - Hong Kong - Full time

Salary: Competitive

Your new role

  • Work closely with data scientists and AI engineers to integrate AI / Generative-AI models (e.g., Retrieval-Augmented Generation, LLMs) into production applications.

  • Design, develop and maintain full-stack web applications (front-end, back-end and database) ensuring high performance, scalability and security.

  • Design and operate CI/CD pipelines (GitLab CI, Jenkins) integrating unit, integration, and automated test execution, artefact management, security scanning, and deployments to multiple environments.

  • Diagnose and resolve production issues, perform root-cause analysis and continuously improve system reliability.

  • Contribute to agile ceremonies, provide accurate effort estimates and keep stakeholders updated on progress.

  • Document architecture, APIs, deployment processes and test plans to ensure knowledge sharing and audit readiness.

  • Stay current with emerging technologies; introduce best practices to the team.


What you'll need to succeed

  • Bachelor's degree in Computer Science, Information Technology, or a related field.

  • 4+ years of experience in QA testing, with strong hands-on experience in related processes and tooling:
    Test frameworks (Cypress, Selenium, Playwright).
    Test management tools (TestRail, Zephyr or similar).
    Experience in the following technology stack is a must
    Front-end: JavaScript/TypeScript and React, Angular or Next
    Back-end: Node.js
    Database: Postgres

  • Experience in AI governance related assessment is highly preferred, including evaluation of AI guardrails, evaluation frameworks such as RAGAS, Promptfoo, LangSmith, etc.

  • Experience with Infrastructure-as-Code (Terraform, Ansible Playbook).

  • Knowledge of AI / ML frameworks (TensorFlow, PyTorch, LangChain or similar) and best practices for integrating models into microservices is a plus.


What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
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