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Quality Engineer

Synechron

 

Hilliard, Ohio, USA

Posted On: 30+ days ago
Experience: 5+ years
Availability: Onsite
Openings: 1
Category: Quality Engineer
Tenure: Contract - Corp-to-Corp
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Description

Key Responsibilities:

  • Develop and execute test cases, scripts, and procedures for both Conversational AI applications and Agentic AI/LLM systems.  
  • Collaborate with product managers, developers, and stakeholders to maintain quality standards throughout the product lifecycle.  
  • Conduct functional, regression, integration, and performance testing on Conversational AI platforms, agentic AI frameworks, and LLM-based solutions.  
  • Identify, document, and track defects using JIRA, providing detailed insights and reports on testing outcomes.  
  • Analyze business and technical requirements to design test strategies tailored to Conversational AI and Agentic AI/LLM use cases.  
  • Evaluate the usability, effectiveness, and scalability of AI-driven applications, offering actionable feedback.  
  • Generate comprehensive test reports and summaries for stakeholders, highlighting key findings and recommendations.  
  • Continuously improve QA methodologies to meet the evolving demands of Conversational AI and Agentic AI technologies.  

Required Qualifications:

  • 3–7 years of experience in software testing and quality assurance, with expertise in Conversational AI and Agentic AI/LLMs.  
  • Strong understanding of standard testing practices, methodologies, and tools for AI applications.  
  • Hands-on experience with JIRA for defect tracking and project management.  
  • Proficiency in Excel for data analysis and reporting.  
  • Knowledge of functional and non-functional testing, including performance and security testing.  
  • In-depth familiarity with LLMs, agentic AI systems, and conversational technologies.  
  • Proven ability to work effectively in cross-functional teams within fast-paced environments.  
  • Excellent problem-solving and analytical skills.  

Desired Qualifications:  

  • Experience with automated testing tools and scripting languages.  
  • Exposure to natural language processing (NLP) testing and validation of intelligent agents.  
  • Familiarity with version control systems.  

 

Education

Any Gradute

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