Quality Assurance Engineer – Conversational AI & Voice Testing

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business.

We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding scope, schedule, and budget objectives since our inception in 1989.

Miratech has coverage across five continents and operates in 25 countries worldwide. With nearly 1,000 full-time professionals and an annual growth rate exceeding 25%, we continue to deliver innovative technology solutions to global enterprises.

Join our team as a Quality Assurance Engineer focused on validating next-generation conversational and voice-based customer experience solutions. In this role, you will ensure 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. This is an exciting opportunity to work with cutting-edge AI technologies, collaborate with cross-functional teams, and help deliver seamless, high-quality customer experiences at scale.

• 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 closely 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.

• 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.

• 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…