Senior QA Engineer I

Posted Yesterday
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Bengaluru, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Information Technology • Analytics • Consulting
The Role
Designs and executes automated end-to-end tests for AI-powered IVR flows and intent recognition. Builds conversational AI evaluation suites and benchmarks for developer unit testing, creates test cases, and partners with developers to improve quality across conversational interactions. Requires expertise with Google Enterprise CX, Dialogflow, IVR testing, and conversational AI automation testing.
Summary Generated by Built In
Job Title: QA Engineer – Conversational AI & IVR (GECX / Dialogflow)

Type: Full-Time

Role Summary

We are looking for a QA Automation Engineer with min 3 years of exp in specializing in AI-driven IVR platforms to test voice interactions, build evaluation suites, and partner with developers to drive quality across conversational flows.

Key responsibilities and requirements -

Design and execute end-to-end automated test suites for AI-powered IVR flows and intent recognition.

Build conversational AI evals for dev teams to leverage during unit testing.

Proven experience creating developer test cases and evaluation benchmarks.

  • Must-Have: Google Enterprise CX (GECX), Dialogflow (CX/ES), IVR Testing, and Conversational AI / Automation Testing.

Skills Required

  • At least 3 years of experience in QA automation engineering
  • Experience with Google Enterprise CX (GECX)
  • Experience with Dialogflow CX or ES
  • Experience with IVR testing
  • Experience with conversational AI and automation testing
  • Experience creating developer test cases and evaluation benchmarks
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The Company
92 Employees
Year Founded: 2019

What We Do

InXiteOut is a strategic AI and data analytics partner for enterprises. It advises, architects, builds, and deploys production-grade AI solutions, data platforms, analytics systems, custom applications, and automation. The company helps organizations identify high-value use cases, turn complex data into actionable intelligence, and embed AI into daily workflows, enabling faster decisions, smarter operations, measurable business impact, and scalable growth across industries.

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