FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in software testing and quality assurance for Conversational AI and Agentic AI applications, with a strong focus on functional, regression, and performance testing. Proficient in utilizing testing methodologies, defect management tools, and AI evaluation metrics to ensure compliance and optimize user experience.
Highest-signal resume keywords
Conversational AI TestingDefect Management Using JIRALarge Language Models (LLMs)API Testing ToolsQuality Assurance Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software TestingQuality AssuranceFunctional TestingRegression TestingPerformance TestingIntegration TestingSecurity TestingData AnalysisTest AutomationPrompt Engineering
Soft Skills
Analytical SkillsProblem-Solving SkillsCollaborationAdaptabilityTroubleshooting
Tools & Technologies
JIRAExcelPostmanSwaggerGitGitHubAzure DevOpsGoogle CCAI/DialogflowAWS BedrockOpenAI Solutions
Certifications & Qualifications
Six SigmaLean
Industry Keywords
Conversational AIGenerative AIAgentic AIAI GovernanceResponsible AINLPNLUAI Model ValidationAI Evaluation MetricsAI Testing Frameworks
Tech Stack
Tools & technologiesAWSAzureCloudJavaScriptPythonSDLC
About the role
Key responsibilities & impact- Develop and execute test cases, scripts, and procedures for Conversational AI and Agentic AI applications
- Collaborate with product managers, developers, data scientists, prompt engineers, and other stakeholders throughout the development lifecycle
- Perform functional, regression, integration, performance, and end-to-end testing across conversational AI platforms and agent-based AI systems
- Validate AI agent decision-making, task execution, multi-step workflows, reasoning paths, and interactions with external tools, APIs, and knowledge sources
- Test LLM-powered applications for accuracy, relevance, consistency, hallucinations, guardrail compliance, and response quality
- Evaluate agent orchestration, including multi-agent collaboration, task decomposition, context management, memory retention, and tool utilization
- Identify, document, and track defects using JIRA and provide detailed testing reports
- Analyze requirements and design test strategies covering conversational flows, autonomous agent behaviors, integrations, and edge cases
- Conduct prompt, response, and workflow validation to optimize performance and user experience
- Perform security, privacy, bias, and responsible AI testing for organizational and regulatory compliance
- Generate test reports, dashboards, and quality metrics for stakeholders
- Contribute to improving AI testing processes, frameworks, methodologies, and automation capabilities
Requirements
What you’ll need- Bachelor's degree in Business Administration, Quality Management, or a related field
- 3–7 years of experience in software testing and quality assurance, with exposure to Conversational AI, Generative AI, Agentic AI, or similar AI technologies
- Strong knowledge of QA methodologies, SDLC, STLC, defect management, and validation techniques
- Experience testing conversational AI platforms, chatbots, voicebots, virtual assistants, or AI-driven applications
- Understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering concepts, and AI agent architectures
- Experience with JIRA for defect tracking and project management
- Strong proficiency in Excel for data analysis, reporting, and test metrics
- Familiarity with API testing tools such as Postman, Swagger, or equivalent
- Experience in functional, integration, performance, security, and user acceptance testing
- Understanding of AI evaluation metrics, model behavior analysis, and conversational testing frameworks
- Ability to work effectively in cross-functional teams and adapt to fast-paced environments
- Strong analytical, troubleshooting, and problem-solving skills
- Relevant certifications such as Six Sigma or Lean are a plus
- Desired: experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, LangChain, or similar platforms
- Desired: experience with automated testing tools and scripting languages such as Python or JavaScript
- Desired: exposure to NLP, NLU, LLM evaluation, prompt testing, and AI model validation
- Desired: knowledge of cloud AI platforms such as Google CCAI/Dialogflow, Azure AI, AWS Bedrock, Amazon Lex, or OpenAI-based solutions
- Desired: familiarity with Git, GitHub, or Azure DevOps
- Desired: experience developing AI test automation frameworks and evaluation pipelines
- Desired: understanding of Responsible AI principles, AI governance, model monitoring, and risk assessment
Benefits
Comp & perks- Hybrid work arrangement
- Full-time employment