AI Quality Engineer

What You Will Do

• Lead end-to-end quality engineering for Generative AI, Conversational AI, Agentic AI, and intelligent automation solutions.
• Define AI testing strategies, evaluation frameworks, quality standards, and release-readiness criteria.
• Evaluate and benchmark Large Language Models (LLMs) for accuracy, safety, relevance, latency, groundedness, and cost.
• Design and implement AI testing frameworks covering RAG evaluation, hallucination detection, AI safety, prompt validation, and model regression.
• Build and integrate automated testing solutions using Python, PyTest, Playwright, API automation, and CI/CD quality gates.
• Drive chatbot, virtual assistant, and copilot testing across multi-turn conversations, intent coverage, and English/Arabic user journeys.
• Mentor QA and automation teams while partnering with Product, Engineering, and Data Science teams to embed quality throughout the AI development lifecycle.
• What You Will Bring:
• Bachelor's Degree plus 8-10 years of testing experience, including at least 3 years supporting banking technology projects in a lead or SME capacity.
• Strong expertise in Generative AI, Conversational AI, Agentic AI testing, LLM evaluation, RAG frameworks, and AI quality assurance methodologies.
• Hands-on experience with Python, PyTest, Playwright, API automation, UiPath Test Suite, and intelligent automation testing.
• Knowledge of AI safety testing, prompt injection, jailbreak testing, hallucination detection, privacy controls, and guardrail validation.
• Experience integrating automated testing and AI evaluation into Azure DevOps, Jenkins, GitLab, and modern CI/CD pipelines.
• Strong analytical, stakeholder management, problem-solving, and mentoring capabilities, with knowledge of banking regulations, UAE PDPL, and digital banking environments.
• Preferred Skills:
• Experience in Generative AI, Conversational AI, Agentic AI, and intelligent automation testing.
• Strong expertise in LLM evaluation, benchmarking, prompt validation, model regression, and RAG evaluation frameworks.
• Hands-on experience in AI quality assurance, including hallucination detection, LLM-as-a-Judge frameworks, and AI safety testing.
• Proficiency in Python, PyTest, Playwright, API automation, and UiPath Test Suite for automation and RPA testing.
• Experience integrating automated testing into CI/CD pipelines using Azure DevOps, Jenkins, GitLab, and Git.
• Knowledge of test data management, synthetic data generation, performance testing, latency profiling, and AI observability.
• Strong understanding of Azure DevOps Test Plans, Jira, and modern AI concepts such as embeddings, vector databases, context windows, and orchestration frameworks.
• Banking domain knowledge with awareness of UAE PDPL, data privacy, security, and regulatory compliance requirements.