Quality Assurance Engineer – Conversational AI & Voice Testing

Miratech • Montgomery Township, NJ

1d • Remote

About The Position

Join Miratech as a Quality Assurance Engineer focused on validating next-generation conversational and voice-based customer experience solutions. The role ensures the quality, reliability, and accuracy of intelligent virtual assistants, voice applications, and customer engagement platforms by testing conversational flows, integrations, automation, and end-to-end customer journeys. You will work with AI technologies and cross-functional teams to help deliver high-quality customer experiences at scale.

Requirements

• 5+ 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, including intent recognition, conversation flows, and response validation.
• Strong knowledge of functional, regression, integration, system, and end-to-end testing methodologies.
• Deep understanding of conversational AI concepts, including 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.
• Strong experience in test planning, test case design, defect management, execution reporting, and quality assurance best practices.
• Excellent analytical, troubleshooting, communication, stakeholder collaboration, and documentation skills.

Nice To Haves

• Experience with performance, load, stress, and scalability testing of conversational AI and voice applications.
• Familiarity with SIP, telephony protocols, speech recognition technologies, DTMF, and call-routing concepts.
• Experience with test automation frameworks, API testing tools, and CI/CD-enabled QA practices.
• Exposure to Amazon Connect, Genesys Cloud, or other contact center platforms.
• Knowledge of conversational analytics, customer experience monitoring, and AI-driven customer engagement solutions.

Responsibilities

• 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 to ensure seamless customer experiences across multiple channels.
• Identify, document, track, and verify defects while collaborating with developers, solution architects, business analysts, and product teams.
• Develop comprehensive 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 established quality standards, functional requirements, performance expectations, and customer experience goals.
• Contribute to test process improvements, automation strategies, and continuous quality initiatives.

Benefits

• Comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program.
• Flexible remote work through the Work From Anywhere culture.
• Professional development opportunities, including certification programs, mentorship and talent investment programs, and internal mobility.
• Internship opportunities.
• Inclusive and supportive multicultural work environment with open communication and regular team-building company social events.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed