Remote AI-Driven IVR Test Engineer

Sensiple

United States

Remote

USD 6,200 - 9,300

Full time

5 days ago
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Job summary

Sensiple is seeking an experienced IVR Tester to join our remote-enabled QA team. You will conduct manual testing of IVR call flows, routing, prompts, DTMF, and integration points, with exposure to AI-driven contact center solutions.

Responsibilities include designing test cases, executing system/integration/regression tests, validating AI-assisted journeys, performing API and SQL checks, and tracking defects in Azure DevOps while collaborating with product and AI teams.

Qualifications

  • 3+ years of manual testing experience in IVR or contact center applications.
  • Strong understanding of IVR systems, call flows, prompts and DTMF.
  • Experience with AI-enabled contact center solutions and testing.
  • Familiarity with API testing, SQL data validation and defect tracking in Azure DevOps.

Responsibilities

  • Analyse requirements and prepare detailed IVR test cases.
  • Perform manual IVR testing of call flows, routing, prompts, DTMF and transfers.
  • Execute System, Integration, Regression and End-to-End testing.
  • Validate AI-powered conversational workflows and agent handoffs.
  • Log, prioritize and track defects using Azure DevOps or equivalent tool.
  • Validate backend data with basic SQL queries and tests.
  • Collaborate with developers, analysts and AI teams to resolve issues.
  • Prepare test execution and defect reports and support UAT.

Skills

Manual testing
IVR testing
AI/Conversational AI
Azure DevOps
SQL
API testing
Test planning

Tools

Azure DevOps

Job description

Sensiple is seeking an experienced IVR Tester to join our remote-enabled QA team. You will conduct manual testing of IVR call flows, routing, prompts, DTMF, and integration points, with exposure to AI-driven contact center solutions.

Responsibilities include designing test cases, executing system/integration/regression tests, validating AI-assisted journeys, performing API and SQL checks, and tracking defects in Azure DevOps while collaborating with product and AI teams.

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