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Quality Assurance Engineer – Conversational AI, Voice Testing
Miratech. Design, develop, and execute functional, regression, integration, and end-to-end test scenarios for conversational AI, voice, and customer interaction solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Quality Assurance for conversational AI and voice applications, with a strong focus on test design, execution, and automation. Proficient in validating integrations, ensuring quality standards, and contributing to continuous improvement initiatives.
Highest-signal resume keywords
Quality Assurance ExperienceConversational AI TestingCyara Tools ProficiencyAPI TestingTest Automation Frameworks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Functional TestingRegression TestingIntegration TestingEnd-to-End TestingTest PlanningDefect ManagementPerformance TestingLoad TestingScalability TestingConversational Flow Validation
Soft Skills
Analytical SkillsTroubleshootingCommunicationStakeholder CollaborationDocumentation Skills
Tools & Technologies
Cyara CruncherCyara VelocityCyara Virtual AgentAWS LexGoogle Dialogflow CXAPI Testing ToolsCI/CD PracticesAmazon ConnectGenesys Cloud
Industry Keywords
Conversational AIIVRVoice ApplicationsCustomer Engagement PlatformsTelephony ProtocolsSpeech RecognitionDTMFCall RoutingCustomer Experience MonitoringAI-Driven Solutions
Tech Stack
Tools & technologiesAWSCloud
About the role
Key responsibilities & impact- Design, develop, and execute functional, regression, integration, and end-to-end test scenarios for conversational AI, voice, and customer interaction solutions
- Validate conversational flows, intent recognition, entities, utterances, response accuracy, escalation paths, and exception handling
- Create and maintain automated test suites to improve testing coverage, efficiency, and release quality
- Test voice and telephony interactions, including speech recognition, touch-tone inputs, call routing, transfers, and customer journey workflows
- Validate integrations between conversational platforms, backend systems, APIs, and third-party services
- Perform system-level and user journey testing across multiple channels
- Identify, document, track, and verify defects with developers, solution architects, business analysts, and product teams
- Develop test plans, test cases, execution reports, and quality metrics
- Participate in requirements reviews and provide quality-focused feedback early in the development lifecycle
- Ensure applications meet quality standards, functional requirements, performance expectations, and customer experience goals
- Contribute to test process improvements, automation strategies, and continuous quality initiatives
Requirements
What you’ll need- 6+ years of experience in Quality Assurance, with hands-on experience testing conversational AI, IVR, voice applications, or customer engagement platforms
- 3+ years of hands-on experience with Cyara Cruncher, Cyara Velocity, and Cyara Virtual Agent for test design, execution, automation, and reporting
- Experience testing conversational AI solutions using AWS Lex and/or Google Dialogflow CX/ES
- Knowledge of functional, regression, integration, system, and end-to-end testing methodologies
- Understanding of NLU, intents, entities, utterances, context management, fallback handling, and escalation workflows
- Hands-on experience validating IVR and voice interactions, including speech recognition, DTMF inputs, call routing, transfers, and call termination scenarios
- Experience testing APIs, backend integrations, data exchanges, and contact center workflows across enterprise applications
- Experience in test planning, test case design, defect management, execution reporting, and quality assurance best practices
- Analytical, troubleshooting, communication, stakeholder collaboration, and documentation skills
- Experience with performance, load, stress, and scalability testing of conversational AI and voice applications is nice to have
- Familiarity with SIP, telephony protocols, speech recognition technologies, DTMF, and call-routing concepts is nice to have
- Experience with test automation frameworks, API testing tools, and CI/CD-enabled QA practices is nice to have
- Exposure to Amazon Connect, Genesys Cloud, or other contact center platforms is nice to have
- Knowledge of conversational analytics, customer experience monitoring, and AI-driven customer engagement solutions is nice to have
Benefits
Comp & perks- Comprehensive compensation and benefits package
- Health insurance
- Language courses
- Relocation program
- Remote work flexibility
- Professional development opportunities
- Certification programs
- Mentorship and talent investment programs
- Internal mobility opportunities
- Internship opportunities
- Inclusive and supportive work environment
- Regular team-building company social events