QA Engineer - Conversational AI & Voice Testing (Remote)

Miratech; Oregon; Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Relentless culture

Competitive pay

Remote-friendly environment

Growth opportunities

Global impact

Diversity & inclusion

Sustainability values

Job summary

Miratech seeks a Quality Assurance Engineer to validate next-generation conversational and voice-based customer experience solutions. You will test intelligent virtual assistants, voice applications, and customer engagement platforms across multiple channels, ensuring quality, reliability, and accuracy of conversational flows and integrations.

You will design and execute test strategies, develop automated suites, and collaborate with cross-functional teams to drive release quality and scalable

Qualifications

• 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.

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 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.

Skills

QA experience

Test methodologies

Analytical skills

Communication

Documentation

Tools

Cyara Cruncher

Cyara Velocity

Cyara Virtual Agent

AWS Lex

Dialogflow CX/ES

Job description

Miratech seeks a Quality Assurance Engineer to validate next-generation conversational and voice-based customer experience solutions. You will test intelligent virtual assistants, voice applications, and customer engagement platforms across multiple channels, ensuring quality, reliability, and accuracy of conversational flows and integrations.

You will design and execute test strategies, develop automated suites, and collaborate with cross-functional teams to drive release quality and scalable