Quality Assurance Engineer
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<h3 data-path-to-node="4"><strong data-path-to-node="4" data-index-in-node="0">The Mission</strong></h3>
<p data-path-to-node="5">AI71 is seeking a <strong data-path-to-node="5" data-index-in-node="18">Senior QA Automation Engineer</strong> to lead the validation and verification strategies for ai71's AI transformation. In this role, you will define "what good looks like" for non-deterministic AI systems, ensuring that Large Language Models (LLMs) and predictive engines meet the strict reliability standards required for the defense and enterprise sectors.</p>
<p data-path-to-node="6">You will act as the bridge between Agile development and formal Systems Engineering. Your mandate is to build automated testing frameworks that validate AI behaviors against "Ground Truth" datasets and ensure our AI agents pass rigorous <strong data-path-to-node="6" data-index-in-node="237">Test Readiness Reviews (TRR)</strong> and <strong data-path-to-node="6" data-index-in-node="270">Functional Configuration Audits (FCA)</strong></p>
<h3 data-path-to-node="8"><strong data-path-to-node="8" data-index-in-node="0">Key Responsibilities</strong></h3>
<h4 data-path-to-node="9"><strong data-path-to-node="9" data-index-in-node="0">1. AI & LLM Validation </strong></h4>
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<p data-path-to-node="10,0,0"><strong data-path-to-node="10,0,0" data-index-in-node="0">Non-Deterministic Testing:</strong> Architect automated frameworks to evaluate Generative AI outputs for hallucination, consistency, and factual accuracy against "Gold Standard" datasets.</p>
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<p data-path-to-node="10,1,0"><strong data-path-to-node="10,1,0" data-index-in-node="0">RAG Evaluation:</strong> Implement automated metrics (e.g., <strong data-path-to-node="10,1,0" data-index-in-node="51">RAGAS</strong>, faithfulness, answer relevance) to verify that Retrieval-Augmented Generation pipelines accurately cite technical and regulatory documentation.</p>
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<p data-path-to-node="10,2,0"><strong data-path-to-node="10,2,0" data-index-in-node="0">Prompt Regression:</strong> Design regression suites to monitor "prompt drift," ensuring model updates do not degrade the quality of AI-generated engineering documents.</p>
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<h4 data-path-to-node="11"><strong data-path-to-node="11" data-index-in-node="0">2. Integration & System Verification</strong></h4>
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<p data-path-to-node="12,0,0"><strong data-path-to-node="12,0,0" data-index-in-node="0">Enterprise Integration:</strong> Build robust tests to validate data consistency between AI agents and critical systems (e.g., <strong data-path-to-node="12,0,0" data-index-in-node="118">SAP S/4HANA</strong>, Ariba), ensuring the integrity of Bill of Materials (BOM) and financial data.</p>
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<p data-path-to-node="12,1,0"><strong data-path-to-node="12,1,0" data-index-in-node="0">Performance Benchmarking:</strong> Design tests to validate latency and throughput for forecasting models and risk-scoring engines using tools like <strong data-path-to-node="12,1,0" data-index-in-node="139">Locust, JMeter, or K6</strong>.</p>
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<p data-path-to-node="12,2,0"><strong data-path-to-node="12,2,0" data-index-in-node="0">API & Security Validation:</strong> Automate testing of secure API gateways, verifying <strong data-path-to-node="12,2,0" data-index-in-node="78">Role-Based Access Control (RBAC)</strong> and PII redaction logic before data reaches AI models.</p>
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<h4 data-path-to-node="13"><strong data-path-to-node="13" data-index-in-node="0">3. Governance & Traceability</strong></h4>
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<p data-path-to-node="14,0,0"><strong data-path-to-node="14,0,0" data-index-in-node="0">V-Model Alignment:</strong> Map automated test cases to "System Requirements" to create digital evidence for formal <strong data-path-to-node="14,0,0" data-index-in-node="107">Verification and Validation (V&V)</strong> reports.</p>
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<p data-path-to-node="14,1,0"><strong data-path-to-node="14,1,0" data-index-in-node="0">Stage Gate Compliance:</strong> Prepare "Test Readiness" packages for formal reviews, providing quantitative evidence that systems are stable enough to move from MVP to Production.</p>
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<p data-path-to-node="14,2,0"><strong data-path-to-node="14,2,0" data-index-in-node="0">Defect Lifecycle Management:</strong> Manage the feedback loop between Requirements Quality Assistants and development teams, tracing AI logic defects back to specific model versions.</p>
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<strong data-path-to-node="16" data-index-in-node="0">What You’ll Bring</strong>
<h4 data-path-to-node="17"><strong data-path-to-node="17" data-index-in-node="0">Technical Requirements</strong></h4>
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<p data-path-to-node="18,0,0"><strong data-path-to-node="18,0,0" data-index-in-node="0">Core Automation:</strong> Expert proficiency in <strong data-path-to-node="18,0,0" data-index-in-node="39">Python (Pytest)</strong> and standard libraries (<strong data-path-to-node="18,0,0" data-index-in-node="79">Selenium/Playwright</strong>, Requests).</p>
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<p data-path-to-node="18,1,0"><strong data-path-to-node="18,1,0" data-index-in-node="0">AI Evaluation:</strong> Hands-on experience with LLM evaluation frameworks (e.g., <strong data-path-to-node="18,1,0" data-index-in-node="73">DeepEval, TruLens</strong>) and "Ground Truth" dataset management.</p>
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<p data-path-to-node="18,2,0"><strong data-path-to-node="18,2,0" data-index-in-node="0">Performance Engineering:</strong> Proficiency in crafting Performance Test Plans and implementations (Locust, K6, etc.).</p>
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<p data-path-to-node="18,3,0"><strong data-path-to-node="18,3,0" data-index-in-node="0">Data Validation:</strong> Expertise in <strong data-path-to-node="18,3,0" data-index-in-node="30">SQL</strong> and data quality tools (e.g., <strong data-path-to-node="18,3,0" data-index-in-node="64">Great Expectations</strong>) for Data Lakehouses and Vector Databases.</p>
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<p data-path-to-node="18,4,0"><strong data-path-to-node="18,4,0" data-index-in-node="0">CI/CD & DevOps:</strong> Strong experience integrating quality gates into <strong data-path-to-node="18,4,0" data-index-in-node="65">GitLab CI/CD</strong> pipelines.</p>
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<p data-path-to-node="18,5,0"><strong data-path-to-node="18,5,0" data-index-in-node="0">Engineering Practices:</strong> Deep understanding of modern QE practices, including <strong data-path-to-node="18,5,0" data-index-in-node="76">Shift Left</strong>, Test Pyramid, and Mono-repo architectures.</p>
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<h4 data-path-to-node="19"><strong data-path-to-node="19" data-index-in-node="0">Professional Qualifications</strong></h4>
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<p data-path-to-node="20,0,0"><strong data-path-to-node="20,0,0" data-index-in-node="0">Experience:</strong> 5+ years in QA Automation, with 2+ years focused on complex data-driven applications, ML models, or AI agents.</p>
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<p data-path-to-node="20,1,0"><strong data-path-to-node="20,1,0" data-index-in-node="0">Domain Expertise:</strong> Background in <strong data-path-to-node="20,1,0" data-index-in-node="32">Defense, Aerospace</strong>, or highly regulated industries is a strong plus. Familiarity with <strong data-path-to-node="20,1,0" data-index-in-node="118">IV&V</strong> processes is highly desirable.</p>
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<p data-path-to-node="20,2,0"><strong data-path-to-node="20,2,0" data-index-in-node="0">Analytical Mindset:</strong> Ability to define pass/fail criteria for probabilistic systems and communicate "Confidence Levels" to engineering leadership.</p>
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<h3 data-path-to-node="22"><strong data-path-to-node="22" data-index-in-node="0">Why AI71?</strong></h3>
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<p data-path-to-node="23,0,0"><strong data-path-to-node="23,0,0" data-index-in-node="0">Final Line of Defense:</strong> You define whether an AI agent is "trusted" to negotiate a contract or design a critical system component in a safety-critical environment.</p>
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<p data-path-to-node="23,1,0"><strong data-path-to-node="23,1,0" data-index-in-node="0">Tax-Free Compensation:</strong> A market-leading, 100% tax-free salary and benefits package.</p>
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<p data-path-to-node="23,2,0"><strong data-path-to-node="23,2,0" data-index-in-node="0">Full Relocation Support:</strong> Comprehensive assistance including flights, housing support, and visa sponsorship for you and your family to Abu Dhabi.</p>
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<p data-path-to-node="23,3,0"><strong data-path-to-node="23,3,0" data-index-in-node="0">Pioneering Work:</strong> Set the global standard for how defense organizations validate intelligent systems using world-leading models.</p>
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Requirements
- •Lead validation and verification strategies for AI transformation
- •Define standards for non-deterministic AI systems
- •Ensure LLMs and predictive engines meet reliability standards
- •Build automated testing frameworks
- •Evaluate AI outputs for hallucination, consistency, and accuracy
- •Verify Retrieval-Augmented Generation pipelines
- •Design regression suites for prompt drift
- •Validate data consistency with enterprise systems (SAP S/4HANA, Ariba)
Nice to Have
- •Experience with RAGAS framework
- •Experience with AI testing for defense and enterprise sectors
- •Familiarity with Bill of Materials (BOM) and financial data integrity
Responsibilities
- •Architect automated frameworks for Generative AI outputs
- •Implement automated metrics for RAG evaluation
- •Design regression suites to monitor prompt drift
- •Build tests to validate data consistency between AI agents and critical systems
- •Design tests to validate latency and throughput for forecasting models
- •Ensure AI agents pass Test Readiness Reviews (TRR) and Functional Configuration Audits (FCA)
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