Senior QA Automation Engineer (Arabic speaking)

parser; España; Presencial; EUR 60.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Hybrid working environment

Competitive compensation

Descripción de la vacante

Parser is seeking a Senior QA Engineer to safeguard quality across complex data flows and AI-driven products, with a focus on conversational agents. You will design automated tests, validate data outputs, and ensure safe, reliable behavior of generative AI systems.

The role requires 8+ years in QA, strong automation experience with JS/Python, API testing, and familiarity with LLM tools. This position offers a hybrid work model for Dubai-based candidates and a competitive compensation package.

Formación

• 8+ years of experience in QA engineering with automation testing.
• 5+ years of experience in testing data systems.
• Fluent Arabic language skills (spoken and written).
• Strong experience in using AI applications for testing.
• 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).

Responsabilidades

• 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 into the QA lifecycle to accelerate test design, documentation, and defect analysis.

Conocimientos

Automation testing

JavaScript

Python

API testing

Data testing

LLM testing

Analytical thinking

Attention to detail

Conversational testing

QA tooling familiarity

Herramientas

PyTest

Postman

dbt tests

Descripción del empleo

Overview

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 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 (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration. We work as an extension of our clients’ teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, AI & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset.

Why Join Us?

If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we’d love to meet you.

How will you impact?

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.

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

Qualifications

• 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, capable of spotting subtle inconsistencies in data and agent behavior.
• 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

Benefits

• 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.

Equal Opportunity

Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law.

Accommodations

If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation.

Privacy and Recruitment

By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser’s Privacy Notice for recruitment purposes. Parser may use AI-assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use AI to streamline note-taking and scheduling. All hiring decisions are made by people, with human review and oversight.

Come and join our Parser Community.

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