Senior QA Automation Engineer (Arabic speaking)
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Key skills for this role
About the Role
Senior QA Engineer Who is Parser? Technology alone does not create impact the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helpi.
Key Skills for This Role
Responsibilities
- Design and execute generative AI testing scenarios, including exploratory testing for chatbot interactions, intent recognition, tone, and edge case behavior.
- Design and execute conversational agents testing.
- Perform LLM test designs, including prompt and grounding validation, golden sets, and non deterministic assertions.
- Perform 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 or Claude) into the QA lifecycle to accelerate test design, documentation, and defect analysis.
Requirements
- Fluent Arabic language skills (spoken and written)
- 8+ years of experience in QA engineering, with proven experience in automation tests
- 5+ years of experience in testing data systems
- Strong experience in using AI applications for testing
- Experience with API testing (manual and automated)
- Familiarity with chatbot frameworks, LLMs, or conversational testing
Full Job Posting
Who is Parser?
- Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and AI enablement.
- We are a fast growing team of 340+ engineers and consultants across Europe, the Americas, and the Middle East.
- We work as an extension of our clients teams, helping them define the right problems, shape solutions, and deliver technology driven outcomes.
Your key responsibilities
- Design and execute generative AI testing scenarios, including exploratory testing for chatbot interactions, intent recognition, tone, and edge case behavior.
- Experience with designing and executing conversational agents.
- 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 or Claude) into the QA lifecycle to accelerate test design, documentation, and defect analysis.
- Strong experience with automation testing with JS, Python
What you'll bring to the role
- Fluent Arabic language skills (spoken and written)
- 8+ years of experience in QA engineering, with proven experience in automation tests
- 5+ years of experience in testing data systems
- Strong experience in using AI applications for testing
- Strong analytical skills and attention to detail
- Experience with API testing (manual and automated)
- Familiarity with chatbot frameworks, LLMs, or conversational testing.
- Experience in using LLM based assistants (e.g., GitHub Copilot, ChatGPT) in test and execution.
- Exposure to QA automation tools (e.g., PyTest, Postman, dbt tests).
Location
- Candidates based in Dubai: hybrid model 2 3 days at the office per week
You will receive
- The chance to join an organization with triple digit growth that is changing the paradigm on how software products are built.
- The opportunity to be part of an amazing, multicultural community of tech experts.
- A highly competitive compensation package.
- A flexible and hybrid working environment.
- Medical insurance.
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