QA Engineer (AI, 25-30K)
Summary
QA Engineer builds and runs automated tests for AI-powered web apps, integrating RAG/LLMs and CI/CD pipelines (GitLab CI, Jenkins) with React, Node.js, and Kubernetes.
SW5960 |16 Apr 2026 QA Engineer (AI, 25-30K)
- 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.
- 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 framework such as RAGAS, Promptfoo, LangSmith, etc.
- Proven experience building and maintaining GitLab CI or Jenkins pipelines, including automated testing, container builds and environment promotion.
- Experience with Infrastructure-as-Code (Terraform, Ansible Playbook).
- Solid understanding of cloud platforms (AWS / Azure / GCP) and container orchestration with Kubernetes.
- Knowledge of AI / ML frameworks (TensorFlow, PyTorch, LangChain or similar) and best practices for integrating models into microservices is a plus.
- Experience in working in an international team, with solid grounding in financial service is a plus.
- Excellent communication skills and data driven thinking capabilities.
- Benefits:
- 25-30K Depends on Experience
- 10-20 Days Annual Leave
- 5-day Work Week