AI Quality & Reliability Engineer – Abu Dhabi, UAE

Halian

United Arab Emirates

On-site

AED 180,000 - 240,000

Full time

4 days ago
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Job summary

Halian is seeking an experienced AI Quality & Reliability Engineer to ensure quality, performance and resilience of cloud-based AI solutions in banking. The role blends AI testing, automation, cloud engineering and SRE practices for robust systems.

The ideal candidate has 6+ years of experience with Python testing (PyTest/Selenium/Robot Framework), cloud platforms (Azure/AWS) and observability tools, and will work across CI/CD, AI/LLM testing and RAG evaluations.

Qualifications

  • At least 6 years of relevant experience.
  • Strong Python testing skills with PyTest, Selenium, Robot Framework.
  • Experience with Azure and/or AWS cloud platforms.
  • Knowledge of SRE, reliability engineering and observability.
  • Experience with load testing and chaos engineering.
  • Familiarity with K6 and/or JMeter.
  • CI/CD and infrastructure validation experience.
  • AI/LLM testing and prompt engineering knowledge.
  • Experience with RAG evaluation and monitoring tools.

Responsibilities

  • Support quality, performance and reliability testing of cloud-based AI solutions.
  • Work with automation testing frameworks and Python-based testing tools.
  • Support reliability engineering, observability and SRE practices.
  • Perform load testing and contribute to chaos engineering activities.
  • Validate CI/CD pipelines and infrastructure.
  • Support AI/LLM testing, prompt engineering and RAG evaluation.
  • Work with monitoring and observability platforms.
  • Support security, compliance and production reliability requirements in banking environments.

Skills

Python testing skills

Tools

PyTest
Selenium
Robot Framework
Azure
AWS
K6
JMeter
Grafana
Prometheus
CloudWatch
Azure Monitor
CI/CD

Job description

Location: Abu Dhabi, United Arab Emirates
Industry: Banking
Job Category: Information Technology (IT) & Software; Science & Research

Job Overview

Halian is looking for an experienced AI Quality & Reliability Engineer to support the quality, performance and resilience of cloud-based AI solutions in the banking industry.

This opportunity brings together AI, automation testing, cloud engineering and Site Reliability Engineering (SRE). The ideal candidate should have at least 6 years of experience and strong technical expertise in Python-based testing frameworks, cloud platforms, reliability engineering, load testing, AI/LLM testing and observability tools.

Key Responsibilities
  • Support quality, performance and reliability testing of cloud-based AI solutions.
  • Work with automation testing frameworks and Python-based testing tools.
  • Support reliability engineering, observability and SRE practices.
  • Perform load testing and contribute to chaos engineering activities.
  • Validate CI/CD pipelines and infrastructure.
  • Support AI/LLM testing, prompt engineering and RAG evaluation.
  • Work with monitoring and observability platforms.
  • Support security, compliance and production reliability requirements in banking environments.
Requirements & Qualifications
  • Minimum 6 years of relevant experience.
  • Strong Python testing skills, including:
    • PyTest
    • Selenium
    • Robot Framework
  • Experience with Azure and/or AWS cloud platforms.
  • Knowledge of SRE, reliability engineering and observability.
  • Experience with load testing and chaos engineering.
  • Familiarity with K6 and/or JMeter.
  • CI/CD and infrastructure validation experience.
  • AI/LLM testing and prompt engineering knowledge.
  • Experience with RAG evaluation.
  • Monitoring tools:
    • Grafana
    • Prometheus
    • Azure Monitor
    • CloudWatch
  • Understanding of security, compliance and banking-grade production environments.
Salary, Benefits & Career Growth

Salary and benefits have not been disclosed by the employer. Candidates should confirm compensation and employment details directly with the hiring team.

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