AI Quality & Reliability Engineer; QA​/SRE Halian

Halian is seeking an experienced, highly technical, and accomplished AI Quality & Reliability Engineer (QA/SRE) with 6+ years of professional experience to join our banking industry client on a full-time, permanent basis in Abu Dhabi, UAE. In this specialized engineering role at the intersection of AI, automated quality assurance, cloud engineering, and site reliability engineering (SRE), you will spearhead driving the quality, performance, resilience, and reliability of enterprise cloud-based AI solutions and LLM-driven applications.

You will work closely with software architects, machine learning engineers, and banking IT operations squads to establish banking-grade production environments. Ideal candidates bring a robust academic degree in computer science or engineering, deep practical mastery of Python testing frameworks, cloud platforms (Azure/AWS), chaos engineering, and immediate availability for deployment in Abu Dhabi.

As an AI Quality & Reliability Engineer (QA/SRE) at Halian in Abu Dhabi, UAE, you will take full ownership of testing AI/LLM systems, validating RAG pipelines, managing cloud observability, and executing rigorous site reliability engineering workflows. Your day-to-day responsibilities encompass developing automated test suites utilizing PyTest, Selenium, and Robot Framework, performing advanced load testing and chaos engineering using K6 and JMeter, and monitoring system telemetry across Grafana, Prometheus, Azure Monitor, and Cloud Watch.

You will ensure strict compliance with banking security standards, evaluate prompt engineering accuracy, and maintain CI/CD infrastructure validation pipelines. Working in a fast-paced banking technology environment, you will drive operational resilience and AI excellence.

• Design, build, and execute comprehensive automated testing frameworks for cloud-based AI solutions and LLM applications.
• Spearhead site reliability engineering (SRE) initiatives, observability monitoring, and incident response runbooks in banking environments.
• Conduct rigorous load testing, stress testing, chaos engineering, and scalability evaluations using K6 and JMeter.
• Perform specialized AI/LLM testing, prompt engineering validation, and Retrieval-Augmented Generation (RAG) evaluation.
• Configure, maintain, and analyze infrastructure monitoring telemetry via Grafana, Prometheus, Azure Monitor, and AWS Cloud Watch.
• Implement continuous integration and continuous deployment (CI/CD) pipelines with automated infrastructure validation checks.
• Validate banking-grade security baselines, data compliance protocols, and high-availability production architectures.
• Write robust test automation scripts utilizing Python, PyTest, Selenium, and Robot Framework.
• Collaborate proactively with machine learning developers, cloud architects, and financial stakeholders.
• Maintain comprehensive technical documentation, test coverage reports, failure analysis logs, and SRE post-mortem reviews.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline.
• Minimum 6+ years of professional experience spanning software quality assurance, cloud engineering, and site reliability engineering (SRE).
• Strong programming proficiency in Python and hands-on expertise with testing frameworks (PyTest, Selenium, Robot Framework).
• Practical hands-on experience deploying and managing enterprise workloads on Azure and/or AWS cloud platforms.
• Proven experience conducting load testing, performance tuning, and chaos engineering (K6, JMeter).
• Specialized expertise in AI/LLM testing, prompt evaluation, and RAG pipeline accuracy verification.
• Solid…