Senior QA Engineer AI-based
Skills
About This Role
Summary
We are seeking a detail-oriented Senior QA Engineer to keep the quality assurance efforts across our complex data flows and AI-driven products, specifically focusing on conversational agents.
This role requires a blend of automation expertise and strong analytical skills to define quality standards, validate complex data outputs, and ensure the reliable and responsible behavior of our generative AI systems.
Key Responsibilities
- Expertise in quality assurance efforts for data pipelines, APIs, and conversational agents.
- Design and execute generative AI testing scenarios, including exploratory testing for chatbot interactions, intent recognition, tone, and edge-case behavior.
- Experience in LLM test designs, including prompt and grounding validation, golden sets, and non-deterministic assertions.
- Perform crucial safety and quality checks, such as testing for hallucination, bias, toxicity, and PII leakage.
- Validate structured and unstructured data outputs, ensuring consistency, accuracy, and compliance.
- Establish and drive real-time testing approaches, including streaming data validation and API monitoring.
- Collaborate with ML and NLP teams to define comprehensive evaluation metrics and criteria for agent performance.
- Integrate AI-driven tools (like Copilot) into the QA lifecycle to accelerate test design, documentation, and defect analysis.
Requirements
- 5+ years of experience in QA engineering, with proven experience in testing data systems or AI applications.
- Strong analytical skills and attention to detail, capable of spotting subtle inconsistencies in data and agent behavior.
- Proficiency in Python and SQL for data validation, automation scripting, and test preparation.
- Experience with API testing (REST/GraphQL automation and validation).
- Familiarity with chatbot frameworks, LLMs, or conversational testing.
- (Desirable)
Experience
- or strong interest in using LLM-based assistants (e.g., GitHub Copilot, ChatGPT) in test and execution.
- (Desirable) Exposure to QA automation tools (e.g., PyTest, Postman, dbt tests).
Location
Candidates based in UAE (Dubai or Abu Dhabi)
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Job Details
Role Level: Mid-Level Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.parserdigital.com Job Function: DevOps & QA Company Industry/
Sector: IT Services and IT Consulting and Software Development
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