Quality Engineer

PowerToFly; Shelton (CT); On-site; USD 80,000 - 105,000; Full time

Job summary

PowerToFly is looking for a Quality Engineer to join their team based in Connecticut, United States. The role involves ensuring the quality delivery of applications, conducting thorough testing in both Cloud and on-premise environments, and working closely with cross-functional teams to validate functionalities.

Candidates should have a Bachelor’s degree in Computer Science and 2-5 years of experience in software QA. Strong expertise in automation tools and AI testing is required, along with excellent communication skills and a collaborative mindset.

Qualifications

• 2-5 years of experience in software QA for enterprise-level products.
• Strong understanding of Transformer-based LLMs, Prompt Engineering.
• Experience with QA automation tools like Selenium, SAHI.

Responsibilities

• Validate specifications of new functionalities and ensure compliance.
• Execute testing on On Premise and Cloud environments.
• Monitor and control testing processes for quality improvement.

Skills

Software QA

Automation Testing

Python

SQL

REST APIs

Selenium

AI Testing

Education

Bachelor's degree in Computer Science

Tools

Selenium

JavaScript

LangChain

OpenAI APIs

Azure OpenAI services

Job description

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.

Design

• Validate Specification of new functionalities: ensure their completion and compliancy with DS standards
• Define functional testing scenarios: Use cases (customer scenarios) corresponding to functionalities to be tested.
• Strong understanding of testing principles, methodologies, and test case design
• Define scenarios based on Industrialization Strategy and Function Specifications
• Identify and qualify bugs and non-conformity areas within specification requirements.

Implement

• Execute testing: Run defined scenarios (acceptance, convergence & non regression)
  • On Premise and CLOUD environments
  • Mobile
• Understanding our Automation Framework and Developer environment
  • Authoring and executing software test automation scripts using JavaScript
• Manage and PublishTest results
  • Participate in GO/NOGO according to the DS defined Gates
  • Define recovery plans with developmentteams
  • Escalate issues and priority arbitration to stakeholders and management
  • Document issues through Incident Reports(IRs) raised to the development teams for resolutions
  • Constant follow-up on critical issues and ensure closure
• Understanding and testing of AI/ML based applications
  • Develop and execute detailed test plans to assess AI algorithms, data quality, and system performance.

Support

• Monitor and control testing process: steer in details QA activities for overall qualityimprovement
• Capitalize on feedbacks from the incidents reported by customers to continuouslyimprove 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 resourcesfor testing
  • Organization of activities between all the Development and Operations cycle gates
  • Optimization of QA costs
• Focus efforts on automation and testing strategies for Continuous Integration
• Cover broad spectrum of tests including functional, UI, API and more along with regression tests to ensure a comprehensive test coverage

Collaborate and Grow

• A fast learner and highly motivated individual who is keen to take ownership
• Excellent communication skills, both oral and written
• Continually looking for ways to improve
• Desire to work in a collaborative team environment
• Strong critical thinking skills and organizational skills
• Work 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 products
• QA automation tools (e.g., Selenium, SAHI)
• Agentic AI, LLM & Advanced QA Capabilities
• Strong 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.