AI Voice Agent QA Engineer

Job description

••••••• is hiring an AI Voice Agent QA Engineer for a new project.

Requirements:

QA Engineer or Test Analyst background with strong software testing experience.
Experience testing conversational AI solutions such as voice bots, chatbots, AI assistants, or virtual agents.
Understanding of prompt engineering and experience improving AI conversations through prompt adjustments.
Experience with customer care or contact center solutions, including voice channels, telephony, IVR, or call routing.
Ability to design test scenarios for customer interactions and edge cases, and validate intent classification and routing.
Experience testing end-to-end business processes and AI integrations with backend systems, including ERP/CRM workflows.
Strong analytical, communication, hands-on, and proactive approach; English proficiency for international collaboration.
Experience with conversational AI platforms such as Parloa or similar is a plus.

Responsibilities:

Perform manual end-to-end testing of customer voice call scenarios; validate intent recognition, call reason classification, and routing.
Test customer journeys across countries, languages, and business scenarios, including AI-driven self-service capabilities.
Design and execute positive, negative, and edge-case scenarios; verify data collection, conversation flow, exception handling, and business rules.
Test end-to-end repair booking, including integration and booking creation in SAP.
Review customer feedback, analyze call transcripts and conversation logs, reproduce issues, and support root-cause analysis.
Collaborate with Product Owners, Developers, Conversation Designers, and Operations teams on corrective actions.
Validate integrations between Parloa AI Voice Agent, Genesys Contact Center Platform, SAP Backend Services, and supporting integrations and APIs.

Job description

••••••• is hiring an AI Voice Agent QA Engineer for a new project.

Requirements:

QA Engineer or Test Analyst background with strong software testing experience.
Experience testing conversational AI solutions such as voice bots, chatbots, AI assistants, or virtual agents.
Understanding of prompt engineering and experience improving AI conversations through prompt adjustments.
Experience with customer care or contact center solutions, including voice channels, telephony, IVR, or call routing.
Ability to design test scenarios for customer interactions and edge cases, and validate intent classification and routing.
Experience testing end-to-end business processes and AI integrations with backend systems, including ERP/CRM workflows.
Strong analytical, communication, hands-on, and proactive approach; English proficiency for international collaboration.
Experience with conversational AI platforms such as Parloa or similar is a plus.

Responsibilities:

Perform manual end-to-end testing of customer voice call scenarios; validate intent recognition, call reason classification, and routing.
Test customer journeys across countries, languages, and business scenarios, including AI-driven self-service capabilities.
Design and execute positive, negative, and edge-case scenarios; verify data collection, conversation flow, exception handling, and business rules.
Test end-to-end repair booking, including integration and booking creation in SAP.
Review customer feedback, analyze call transcripts and conversation logs, reproduce issues, and support root-cause analysis.
Collaborate with Product Owners, Developers, Conversation Designers, and Operations teams on corrective actions.
Validate integrations between Parloa AI Voice Agent, Genesys Contact Center Platform, SAP Backend Services, and supporting integrations and APIs.

Job description