Luminexis.AI builds human-centered AI systems that accelerate clarity, streamline decision-making, and solve complex problems at scale. We work with organizations that need more than automation-they need intelligent infrastructure that moves as fast as they do.Where AI Starts for Companies That Can't Afford to FailLuminexis.AI delivers AI strategy and execution for organizations operating in high-stakes environments-defense, healthcare, insurance, and logistics. Through our flagship Discovery Package and the upcoming Illuminate (TM) platform, we turn AI overwhelm into clarity, capability, and measurable results. We're a fast-moving, client-first, technology-driven team looking for a proven closer to help us scale from high-trust engagements to platform-driven growth.The OpportunityWe are seeking a detail-oriented QA Engineer to join our Quality Assurance team within Product & Engineering team. This role requires a skilled QA professional with 6-8 years of quality assurance experience who can ensure the reliability, performance, and accuracy of both traditional software applications and cutting-edge AI/ML systems. The ideal candidate will develop comprehensive testing strategies, implement automated testing frameworks, and collaborate with development teams to deliver high-quality solutions that meet rigorous quality standards across diverse client environmentsKey ResponsibilitiesSoftware Application Testing & Quality AssuranceDesign and execute comprehensive test plans for web applications, mobile apps, and enterprise software systems including functional, integration, regression, and user acceptance testingDevelop and maintain automated test suites using tools like Selenium, Cypress, TestNG, and Jest to ensure consistent quality across multiple releasesPerform API testing using Postman, REST Assured, or similar tools to validate data integrity, error handling, and performance characteristicsConduct cross-browser and cross-platform compatibility testing to ensure consistent user experience across different environmentsExecute performance testing and load testing using JMeter or LoadRunner to identify bottlenecks and scalability limitationsAI/ML Application Testing & ValidationDevelop specialized testing frameworks for machine learning models including data quality validation, model accuracy assessment, and bias detectionCreate test datasets and implement data pipeline testing to ensure AI systems receive clean, representative training and inference dataPerform model performance testing including accuracy metrics, precision/recall analysis, and robustness testing against edge cases and adversarial inputsValidate AI model outputs for consistency, explainability, and adherence to business requirements and ethical AI principlesTest AI/ML integration points including real-time inference APIs, batch processing systems, and model versioning workflowsTest Automation & Framework DevelopmentBuild and maintain scalable test automation frameworks that support both traditional software and AI application testing requirementsImplement continuous integration testing pipelines using Jenkins, GitLab CI, or GitHub Actions to provide rapid feedback on code qualityDevelop custom testing tools and utilities for specialized AI testing scenarios including model drift detection and data validationCreate comprehensive test documentation including test cases, testing procedures, and quality metrics reportingEstablish testing standards and best practices for both software applications and AI/ML systems across development teamsQuality Process Management & CollaborationCollaborate with development teams, product managers, and data scientists to understand requirements and define comprehensive testing strategiesParticipate in agile ceremonies including sprint planning, daily standups, and retrospectives to ensure quality considerations are integrated throughout development lifecycleManage defect tracking and resolution processes using tools like Jira, ensuring timely communication and resolution of quality issuesConduct root cause analysis for production defects and implement preventive measures to avoid recurring issuesProvide quality metrics and testing reports to stakeholders including test coverage, defect density, and release readiness assessmentsQualificationsQA Engineering & Testing Expertise6-8 years of hands-on quality assurance experience with both manual and automated testing methodologiesProficiency in test automation tools and frameworks including Selenium WebDriver, Cypress, TestNG, JUnit, or PytestStrong experience with API testing tools (Postman, REST Assured, SoapUI) and database testing including SQL query validationKnowledge of performance testing tools (JMeter, LoadRunner, Gatling) and mobile testing frameworks (Appium, Espresso, XCTest)Experience with CI/CD pipelines and integrating automated tests into continuous deployment workflowsAI/ML Testing & Data Quality KnowledgeUnderstanding of machine learning concepts, model evaluation metrics, and statistical analysis for AI system validationExperience with data quality assessment, data profiling, and test data management for AI/ML applicationsKnowledge of AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) and ability to understand model behavior and limitationsFamiliarity with AI ethics, bias detection, and fairness testing methodologies for responsible AI deploymentExperience with big data testing tools and techniques for validating large-scale data processing systemsTechnical Skills & Development CapabilitiesStrong programming skills in languages such as Python, Java, JavaScript, or C# for test automation developmentExperience with version control systems (Git), test management tools, and defect tracking systemsKnowledge of cloud platforms (AWS, Azure, GCP) and containerized testing environments using Docker and KubernetesUnderstanding of database systems, SQL queries, and data validation techniques for backend system testingFamiliarity with security testing principles and tools for identifying vulnerabilities and compliance issuesCommunication & Analytical AbilitiesExcellent analytical and problem-solving skills with attention to detail and ability to identify edge cases and potential failure scenariosStrong written and verbal communication skills for creating clear test documentation and collaborating with cross-functional teamsAbility to translate business requirements into comprehensive testing strategies and provide risk assessment for release decisionsBachelor's degree in Computer Science, or related fieldDeliverablesQuality Delivery & Testing ExcellenceAchieve 95%+ test coverage across assigned projects with comprehensive test automation that reduces manual testing effort by 60%Identify and prevent critical defects from reaching production environments, maintaining defect escape rate below 5%Implement testing frameworks that support both software and AI applications with standardized approaches across development teamsDeliver testing results and quality assessments that enable confident release decisions and meet client quality expectationsAI/ML Testing Innovation & ImpactDevelop specialized AI testing methodologies that become standard practice across the organization's AI/ML projectsSuccessfully validate AI model accuracy and performance metrics that meet or exceed business requirements by 10-15%Implement bias detection and fairness testing protocols that ensure ethical AI deployment and regulatory complianceCreate reusable AI testing frameworks and tools that reduce AI project testing time by 25-30%Process Improvement & Team CollaborationContribute to quality process improvements that increase overall team productivity and reduce time-to-market by 20-40%Mentor junior QA engineers and contribute to team knowledge sharing through documentation and training sessionsMaintain strong working relationships with development teams resulting in proactive quality discussions and early defect preventionProfessional Development & Technical LeadershipLead 2-3 quality improvement initiatives annually that enhance testing capabilities and organizational quality standardsContribute to thought leadership through technical presentations, blog posts, or participation in quality assurance communitiesAt Luminexis.AI, we believe the best teams win-by hiring elite talent, putting the customer first, driving innovation, and acting with urgency and integrity. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. This description reflects management's assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned. This job description is subject to change at any time.#TT