QA Engineer

1 week ago


Bengaluru, Karnataka, India Recro Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About the Role

We are seeking a highly motivated and detail-oriented Quality Assurance (QA) Engineer to join our team. You will play a key role in ensuring the reliability, accuracy, and user experience of our Conversational AI systems. This role involves testing dialogue models, integrations with NLP/LLM-based backends, and end-to-end conversational workflows across multiple platforms (chat,voice, and integrations with enterprise systems).

Location:
Bengaluru, India

Key Responsibilities

● Test Planning & Strategy

○ Develop and execute comprehensive test plans for conversational AI features, including NLP pipelines, dialogue flows, integrations, and APIs.

○ Design functional, regression, performance, and exploratory test cases specific to conversational interfaces.

● Conversational Testing

○ Validate intent recognition, entity extraction, context handling, and multi-turn dialogue management.

○ Test conversational flows for accuracy, completeness, and user experience. Perform scenario-based and edge-case testing to capture unexpected user inputs.

● Automation & Tooling

○ Build automated test scripts for API endpoints, dialogue flows, and ML model outputs.

○ Work with frameworks like Postman, Cypress, PyTest, or custom NLP testing tools.

○ Contribute to CI/CD pipelines with automated regression tests.

● Collaboration

○ Partner with Data Scientists, ML Engineers, and Product Managers to define acceptance criteria for AI-driven features.

○ Provide feedback on conversational design and model performance.

○ Collaborate with DevOps on load testing and monitoring production systems.

● Quality Advocacy

○ Ensure conversational AI products meet high standards for accuracy, robustness, fairness, and usability.

○ Help define and track KPIs (e.g., intent accuracy, response latency, conversation success rate).

Qualifications

● 3+ years of QA/testing experience, preferably with AI, ML, or NLP products.

● Strong understanding of API testing, automated frameworks, and scripting languages (Python, JavaScript, or similar).

● Experience testing chat agents, voice agents, or conversational interfaces is a plus.

● Familiarity with NLP concepts: intents, entities, context, LLMs, and dialogue management

frameworks (e.g., Rasa, Dialogflow, LLM APIs).

● Experience with CI/CD pipelines and version control (Git).

● Excellent problem-solving, analytical, and communication skills.

Nice-to-Haves

● Exposure to A/B testing and model evaluation.

● Experience with cloud platforms (AWS, GCP, Azure).

● Familiarity with accessibility and localization testing for multilingual agents..

● Interest in AI ethics, fairness, and bias testing.


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