Senior AI QA Engineer
Role Overview
Own quality for AI and agentic systems at a UAE-based Sovereign AI company with products deployed across critical sectors.
The work focuses on systems that reason, call tools, and produce variable outputs, alongside core QA responsibilities.
Key Skills for This Role
Full Job Posting
About the role
Own quality for AI and agentic systems at a UAE-based Sovereign AI company with products deployed across critical sectors.
The work focuses on systems that reason, call tools, and produce variable outputs, alongside core QA responsibilities.
What you'll do
- Test agentic systems end to end, including tool use, trajectories, grounding, citations, refusal calibration, guardrails, and adversarial testing.
- Evaluate non-deterministic AI for hallucination, consistency, and accuracy against gold datasets, including calibrated LLM-as-judge scoring.
- Maintain prompt and model regression suites to catch quality drift before release.
- Run continuous evaluation on production traffic with quality monitoring, alerts, and incident response.
- Perform integration and API testing, secure gateway validation for RBAC and PII, and performance and load testing.
What we're looking for
- At least 5 years in QA or quality engineering, including 2 years testing ML, LLM, or AI agent systems.
- Hands-on with LLM or agent evaluation frameworks such as DeepEval, TruLens, RAGAS, or custom Python evaluators, and LLM-as-judge.
- Experience with agent observability and tracing, such as LangSmith, Langfuse, or OpenTelemetry.
- Expert Python skills, including Pytest and custom harnesses, plus Selenium or Playwright and API testing.
Work setup
- Abu Dhabi-based hybrid role.
- Contract-based engagement; onboarding is ASAP.
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