Engineer - ML QA (AI)

Location: Abu Dhabi, Abu Dhabi, United Arab Emirates

Company

Inception42 is hirify.global’s AI-focused product organization, developing domain-specific and industry-agnostic AI solutions, including financial applications and enterprise platforms.

What you will do

• Design and execute risk-based functional, integration, regression, usability, accessibility, and performance testing across web interfaces, APIs, data flows, and end-to-end workflows.
• Translate product requirements and business workflows into acceptance criteria, test scenarios, traceable evidence, and reusable regression coverage.
• Validate conversational AI, document ingestion and retrieval, AI orchestration, tool integrations, response quality, context retention, permissions, and handling of unsupported or ambiguous requests.
• Build and maintain UI, API, integration, and data-validation automation, integrating smoke and regression tests into CI/CD pipelines.
• Validate financial calculations, reconciliations, reporting, access controls, audit trails, responsiveness, concurrency, and stability under expected and peak workloads.
• Own defect documentation, triage, retesting, root-cause collaboration, requirements traceability, quality reporting in Azure DevOps, and release-risk communication.

Requirements

• Strong software quality fundamentals, including test design, exploratory testing, defect analysis, and risk-based coverage.
• Experience testing production web or cloud applications across UI, API, integration, and end-to-end workflows.
• Hands-on experience building or maintaining automated tests with Playwright, Selenium, Cypress, REST Assured, Postman, or comparable frameworks.
• Working proficiency in at least one test-automation programming language: Python, TypeScript, or Java.
• Ability to validate REST APIs, authentication and authorization controls, service integrations, and failure behavior.
• Strong SQL skills and experience verifying data flows, transformations, calculations, and reporting outputs.
• Familiarity with Git, CI/CD pipelines, Agile delivery, and cloud-based application environments.
• Understanding of prompts, conversational context, retrieval-augmented generation, and tool execution, or the ability to learn these concepts quickly.
• Ability to design repeatable checks for variable system responses using clear business rules and expected outcomes, with strong debugging, communication, ownership, and collaboration skills.

Nice to have

• Experience testing conversational AI, enterprise search, document processing, RAG applications, or AI-driven workflows.
• Exposure to Azure App Service, Azure Functions, Azure Kubernetes Service, or Azure Data Factory.
• Experience with performance, security, accessibility, or multi-tenant access-control testing.
• Knowledge of financial systems, reconciliation, compliance controls, reporting, or audit requirements.
• Familiarity with observability tools and production quality analysis.

Culture & Benefits

• Open, diverse, and inclusive environment with a global vision.
• Structured training, learning, development, and growth opportunities.
• Innovative, high-tech projects focused on AI and industry-first solutions.
• Competitive remuneration package with healthcare, education support, leave benefits, and additional perks.