AI Voice Agent QA & Prompt Testing Associate

About Huvo AI

Huvo AI builds AI-powered sales and customer engagement solutions using Voice AI, WhatsApp automation, CRM, lead qualification, and sales intelligence.

We are looking for an AI Voice Agent QA & Prompt Testing Associate who will be responsible for continuously testing our AI calling agents, identifying issues in conversations, validating prompts and workflows, and ensuring that our dashboards and CRM systems are functioning correctly.

Role & Responsibilities

- Listen to AI voice agent calls on a daily basis and evaluate the overall call quality.

- Identify issues such as

- Incorrect or irrelevant responses
- Long response delays or awkward pauses

- Incorrect pronunciation
- Voice interruptions and turn-taking issues

- Repetitive responses
- Incorrect understanding of customer queries

- Wrong information being communicated

- Improper call disconnection
- Poor handling of objections or unexpected scenarios
- Categorize and document problems found during calls with clear examples and call references.
- Evaluate whether the AI agent is following the approved conversation flow and business requirements.
- Test different prompts and prompt changes before they are pushed to live campaigns.
- Create different customer scenarios and test how the AI agent responds in each situation.
- Perform regression testing after prompt, model, workflow, or product changes.
- Compare different prompt versions and help determine which version performs better.
- Work closely with the AI/engineering team to clearly explain issues and help reproduce bugs.
- Verify that call outcomes, lead qualification, summaries, recordings, transcripts, and other information are correctly reflected in the dashboard.
- Regularly test dashboard functionality, including filters, lead status, call recordings, campaign information, CRM updates,



and other important workflows.
- Identify dashboard bugs, incorrect data, missing information, or broken workflows and report them to the product/engineering team.
- Test complete customer journeys from lead upload AI call qualification dashboard/CRM update follow-up actions.
- Maintain QA reports and track recurring issues to ensure they are resolved.
- Suggest improvements to prompts, conversation flows, and customer experience based on patterns observed across calls.

Preferred Candidate Profile
- Strong listening and analytical skills.
- Excellent attention to detail.
- Good written and verbal communication skills.
- Ability to identify subtle problems in conversations.
- Comfortable testing software dashboards and reporting bugs.
- Logical thinking and ability to test multiple edge cases.
- Basic understanding of AI, LLMs, prompts, or conversational AI is preferred.
- Experience in QA, customer support quality, call auditing, software testing, operations, or conversational AI is a plus.
- Comfortable working with large numbers of calls and identifying patterns across them.

What We Are Looking For The ideal candidate should be someone who can listen to a call and quickly understand what went wrong, why it may have gone wrong, and how the conversation could be improved. This role requires someone who is curious, detail-oriented, and comfortable repeatedly testing AI agents across different scenarios rather than simply checking whether a call was successful or unsuccessful.

Key Performance Areas

Performance will primarily be evaluated on:

- Accuracy of issues identified in calls
- Number and quality of practical QA observations
- Prompt testing coverage
- Ability to identify edge cases
- Accuracy of dashboard and workflow testing
- Quality of bug reporting and documentation
- Reduction in recurring AI conversation issues
- Overall improvement in production call quality

📌 Tele Caller/ Quality analyst (Gurugram)
🏢 Ligatrix Technologies
📍 Gurugram