Senior QA Engineer
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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Skills Required
- 5+ years of experience in QA engineering
- Proficiency in Python and SQL
- Experience with API testing (REST/GraphQL)
- Familiarity with chatbot frameworks or conversational testing
- Experience with QA automation tools like PyTest and Postman
What We Do
At Parser we help organisations leverage on digital to advance their business strategy. For us, creativity, talent, and passion are indispensable to succeed. This is why we are committed to building, nurturing, and empowering a diverse, multi-disciplinary environment, where every team member can grow professionally and achieve their ambitions, while helping our clients deliver amazing digital products. Thanks to our flexible, distributed model of global operation and the high calibre of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people across 4 continents. Our services: - Digital Strategy & Transformation We help you understand market trends, relevant technologies, and aligned with your business strategy we create your vision and set the digital direction. This enables you to focus efforts and integrate business and technology across your organisation. - Digital Portfolio Management Based on a clear vision and direction, we help you assess your position, execute your digital strategy and manage your portfolio. We do this by integrating a range of diverse business and technical practises, transforming your organisation in the process. - Product & Service Development We help you create new experiences by designing user journeys that bridge all of the relevant departments of your organisation. By harnessing our ecosystem of specialised talent, we can provide relevant and focused expertise on demand.
