Quality Assurance Engineer (AWS Lex and Google Dialogflow)

Company Description

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

Miratech has coverage across 5 continents and operates in 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.

Job Description

We are looking for a Quality Assurance Engineer with experience in testing conversational AI platforms such as AWS Lex and Google Dialogflow (CX / ES). The candidate will be responsible for functional, regression, and end-to-end testing of steering and skill bots, ensuring that virtual agent solutions deliver accurate, consistent, and high-quality customer experiences.

The ideal candidate should be able to understand conversation design, NLU behavior, and bot architecture, and collaborate effectively with developers, solution architects, and business teams to validate and optimize bot performance.

Responsibilities :

• Design and execute test plans, test cases, and scripts for AWS Lex and Google Dialogflow bots (steering and skill bots).
• Perform functional, regression, and integration testing across multiple bot use cases and channels (voice, chat, web).
• Validate conversation flows, intent mapping, slot filling, fulfillment logic, and API integrations.
• Collaborate with development teams to review requirements, conversation designs, and user stories.
• Test multi-bot orchestration setups between steering bots and skill bots to ensure seamless user journeys.
• Verify voice interactions in platforms such as Amazon Connect or Google CCAI integrations.
• Track and report defects, performance issues, and test coverage using standard QA tools.
• Participate in UAT and assist in creating test summary reports and automation scripts where applicable.
• Ensure bots meet expected accuracy, response time, and quality benchmarks.

Qualifications

Nice to Have :

We offer :

Additional Information

All your information will be kept confidential according to EEO guidelines.

Skills Required

Aws Lambda, Jira, Cloudwatch, Javascript, Confluence, Python, Api Gateway