AI Quality & Reliability Engineer (QA/SRE)

TalentRecruit Software Private Limited; Abu Dhabi; On-site; AED 250,000 - 420,000; Part time

Job summary

TalentRecruit Software Private Limited is seeking an AI Quality & Reliability Engineer (QA/SRE) in Abu Dhabi for a contract role. The position focuses on production readiness of cloud-based AI solutions, combining automated AI testing, SRE, and infrastructure validation.

The role requires expertise in Python, CI/CD automation, Azure or AWS, and AI model evaluation, with emphasis on security and banking compliance. Work is on-site in Abu Dhabi with a hybrid collaboration model.

Qualifications

• Proficiency in Python for AI testing and CI/CD automation.
• Experience with cloud infrastructure (Azure/AWS) for reliability.
• Understanding of AI model evaluation and content safety.

Responsibilities

• Design and execute automated testing frameworks for AI services.
• Implement Chaos Engineering and load testing for banking-scale backends.
• Build CI/CD-integrated test suites validating application and IaC state.
• Define SLIs/SLOs and set up alerting in cloud monitoring tools.
• Automate security scans and compliance checks for banking data residency.

Skills

Python

Automation Testing

Site Reliability Engineering

AI Testing

Prompt Engineering Evaluation

Tools

GitHub Actions

Terraform

K6

JMeter

Grafana

Prometheus

Azure

AWS

Job description

AI Quality & Reliability Engineer (QA/SR...

ID 5620

Posted 10 Days ago

Job Location Abu Dhabi (Work From Office)

Job Type Contract

Job Description

Role Overview

We are seeking an AI Quality & Reliability Engineer to own the "Production Readiness" of our cloud-based AI solutions. This hybrid role combines automated software testing, AI model evaluation, and Site Reliability Engineering (SRE). You will build the automated frameworks that validate our AI outputs and ensure the underlying Azure/AWS infrastructure is resilient, performant, and compliant with banking standards.

Key Responsibilities

• AI Quality Automation: Design and execute automated testing frameworks for AI services (e.g., Azure OpenAI, AWS Bedrock). This includes testing for model hallucinations, accuracy, and "AI Content Safety" latency.
• Resiliency Engineering (SRE): Implement "Chaos Engineering" and load testing to ensure web/mobile backends can handle banking-scale traffic. Maintain high availability through automated recovery scripts.
• Automated Regression: Build CI/CD-integrated test suites using Python that validate both the application logic and the infrastructure state (IaC validation).
• Observability & SLIs: Define and monitor Service Level Indicators (SLIs) and Objectives (SLOs). Set up advanced alerting in Azure Monitor or AWS CloudWatch to catch performance degradation before users do.
• Security & Compliance Testing: Automate security scans and compliance checks to ensure all AI data handling meets strict banking data residency and privacy protocols.

Technical & Professional Requirements

• Automation Stack: High proficiency in Python (for AI testing) and framework automation (PyTest, Selenium, or Robot Framework).
• Cloud Infrastructure: Strong hands-on experience with Azure or AWS, specifically regarding networking, scaling, and serverless reliability.
• AI/ML Understanding: Understanding of Prompt Engineering and how to evaluate AI model outputs (RAG evaluation, ROUGE/BLEU scores, or custom LLM-benchmarks).
• Monitoring Tools: Experience with Grafana, Prometheus, or native cloud monitoring tools to build real-time reliability dashboards.
• FinOps Awareness: Ability to identify "expensive" failing tests or inefficient cloud resource usage during the testing phase.

Recommended Skillset & Tools

• Languages: Python (Mandatory), Bash scripting.
• Tools: GitHub Actions (CI/CD), Terraform (reading/validating), K6 or JMeter (Performance).
• AI Frameworks: DeepEval, Ragas, or LangSmith (for automated AI evaluation).

Skills

AI Quality & Reliability Engineer (QA/SRE)