Quality Engineer

Role Description & Responsibilities:Dassault Systemes is a seeking a Quality Engineer for our ENOVIA brand, ENOVIA provides the leading enterprise collaboration applications for many industries promoting innovation and operational excellence with a variety of product solutions. From Aerospace and Defense to customers to in the Life Science based industries, our solutions manage mission-critical data. You will help drive the quality delivery of best-in-class applications of ENOVIA by supporting client fix packs validations and providing technical assessments of the enhancements along with Cloud and On-premise validation support for the team onsite. You will work closely in an agile environment with a group of experienced Developers, Quality Engineers, and Business Consultants to help create and validate Gen7 products of ENOVIA Resilient Value Network domain.DesignValidate Specification of new functionalities: ensure their completion and compliancy with DS standardsDefine functional testing scenarios: Use cases (customer scenarios) corresponding to functionalities to be tested.Strong understanding of testing principles, methodologies, and test case designDefine scenarios based on Industrialization Strategy and Function SpecificationsIdentify and qualify bugs and non-conformity areas within specification requirements.ImplementExecute testing: Run defined scenarios (acceptance, convergence & non regression) On Premise and CLOUD environmentsMobileUnderstanding our Automation Framework and Developer environmentAuthoring and executing software test automation scripts using JavaScriptManage and Publish Test resultsParticipate in GO/NOGO according to the DS defined GatesDefine recovery plans with development teamsEscalate issues and priority arbitration to stakeholders and managementDocument issues through Incident Reports (IRs) raised to the development teams for resolutionsConstant follow-up on critical issues and ensure closureUnderstanding and testing of AI/ML based applicationsDevelop and execute detailed test plans to assess AI algorithms, data quality, and system performance.SupportMonitor and control testing process: steer in details QA activities for overall quality improvementCapitalize on feedbacks from the incidents reported by customers to continuously improve testing process (content and efficiency)Plan convergence and non-regression tests according to the targeted GA (final delivery) date and Define Industrialization plan:Compilation and arbitration between all scenarios.Necessary time and resources for testingOrganization of activities between all the Development and Operations cycle gatesOptimization of QA costsFocus efforts on automation and testing strategies for Continuous IntegrationCover broad spectrum of tests including functional, UI, API and more along with regression tests to ensure a comprehensive test coverageCollaborate and GrowA fast learner and highly motivated individual who is keen to take ownershipExcellent communication skills, both oral and writtenContinually looking for ways to improveDesire to work in a collaborative team environmentStrong critical thinking skills and organizational skillsWork with cross-functional and multi geo teams.Qualifications:Bachelor’s degree (Computer Science or related field)2–5 years in software QA with enterprise-level productsQA automation tools (e.g., Selenium, SAHI) Agentic AI, LLM & Advanced QA CapabilitiesStrong understanding of Transformer-based LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), Function/Tool Calling, Multi-Agent Systems, Agent Planning & Reasoning Workflows, and Memory Architectures.Experience validating Agentic AI applications through scenario-based testing, adversarial testing, edge-case identification, and failure-mode analysis.Conduct hallucination testing, prompt injection validation, jailbreak detection, memory corruption testing, and tool-selection accuracy assessments.Design and execute AI evaluation frameworks using benchmark datasets, ground-truth validation, human evaluation methods, and LLM-as-a-Judge approaches.Validate agent workflows, reasoning chains, tool-calling accuracy, and multi-step decision-making processes.Experience with LangChain, LangGraph, OpenAI APIs, and Azure OpenAI services.Perform A/B testing, benchmarking, statistical analysis, and model comparison studies to measure improvements in accuracy, hallucination reduction, and tool-use effectiveness.Strong expertise in Python, SQL, API Testing, Log Analysis, CI/CD Automation, REST APIs, JSON, Authentication, and Test Case Design.