Senior QA Engineer (AI-based)

Parser Limited; Dubai; On-site; AED 300,000 - 420,000; Full time

Job summary

Parser Limited in Dubai is seeking a Senior QA Engineer to ensure quality across complex data flows and AI-driven products, with emphasis on conversational agents.

You will design and execute tests for data pipelines, APIs, and LLM-based chat systems, build automation in Python, and collaborate with ML/NLP teams to define robust evaluation criteria.

The role offers opportunities to advance QA practices, address safety concerns, and impact real-time validation in a fast-moving AI environment.

Qualifications

• 5 years of QA experience with data systems or AI applications.
• Strong analytical skills and attention to detail to spot data and agent behavior inconsistencies.
• Proficiency in Python and SQL for data validation and test automation.
• Experience with API testing (REST/GraphQL).
• Familiarity with chatbot frameworks and LLMs.
• Desirable: using Copilot or similar AI assistants in testing.

Responsibilities

• Design and execute QA tests for data pipelines, APIs, and conversational agents.
• Create generative AI test scenarios including chatbot interactions, intent recognition, and edge-case behavior.
• Develop LLM test designs including prompts, grounding validation, and non-deterministic assertions.
• Perform safety checks for hallucination, bias, toxicity, and PII leakage.
• Validate structured and unstructured data outputs for consistency and accuracy.
• Establish and drive real-time testing approaches including streaming data validation and API monitoring.
• Collaborate with ML and NLP teams to define evaluation metrics and criteria for agent performance.
• Integrate AI-driven tools into the QA lifecycle to accelerate test design, documentation, and defect analysis.

Skills

QA testing

Python

SQL

API testing

LLMs

Chatbot frameworks

Copilot

Job description

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)

Required Experience:

Senior IC