JobsSenior QA Engineer - AI Products (6 months contract)
Senior QA Engineer - AI Products (6 months contract)
Arabic.AIDoha, Qatar27 October 2026
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Listing details, as published by the source
We are looking for a Senior QA Engineer to own quality across our AI products. You will test LLM-powered features end to end, build automated test and evaluation suites, and help ensure every release is accurate, safe, and reliable.
Responsibilities
Define test strategies and plans for AI features across web, API, and backend
Evaluate model outputs for accuracy, consistency, hallucinations, bias, and safety
Build evaluation datasets, including edge cases and adversarial / red-team prompts
Develop and maintain automated UI, API, and regression tests integrated into CI/CD
Run regression testing on model, prompt, and configuration changes
Test performance, latency, error handling, and fallback behavior
Report defects clearly and provide release-readiness sign-off
Test non-deterministic outputs using scoring rubrics, LLM-as-judge, human evaluation, and defined pass/fail thresholds
Perform AI security testing, including prompt injection, jailbreaks, and PII / data leakage across chatbots, RAG, and agents
Work with ML engineers and product managers to define quality metrics and acceptance criteria
Where applicable, monitor production quality and model drift after release
Requirements
7+ years of experience in QA / software testing, with strong test automation background.
Proven experience testing AI/ML or LLM-based products (chatbots, RAG, agents, etc.)
Hands-on scripting experience in Python and/or TypeScript/JavaScript
Hands-on with at least one UI automation framework (Playwright, Cypress, Selenium) and a test framework such as Pytest
API testing with Postman, REST Assured, or similar
Experience with LLM evaluation tools
CI/CD and version control: GitHub Actions, GitLab CI or Jenkins; Git
Test management and tracking: Jira, TestRail, or Zephyr
Excellent written English and clear bug reporting
Nice to Have
Performance/load testing (k6, JMeter, Locust)
Understanding of prompt engineering, embeddings, and vector databases
Experience with AI safety, red-teaming, or content policy testing
Cloud experience (AWS, GCP, or Azure) and Docker
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