Role : QA Engineer (Android & AI/LLM Testing)

Work Mode: Work from office

Interview Mode : F2F

Experience : 1 - 4 Years

Significant Note

- Job Location & Relocation: The job location is Pune. The candidate must be open to relocating to Pune for this role.
- Work Mode: 100% On-site / In-office (5 days a week). Strictly no remote work option.
- Commute / Travel Constraint: Candidates must reside or be able to relocate to a location within a 1.5-hour maximum travel distance to the Pune office.
- Service Agreement / Bond: The candidate must be willing to sign an 18-month service bond/agreement upon joining.
- Dedicated Focus: Candidates must have a dedicated focus on software quality assurance, Android testing, and AI/LLM application validation.
- Commitment: The candidate should be committed to a full-time QA role focused on cutting-edge voice and AI technology products.

About the Role

We are looking for a QA Engineer with hands-on experience in Android application testing, test case design, and execution. In this role, you will also be responsible for testing LLM-based applications, validating AI-generated responses, and supporting internal test automation using basic Python scripting.

Key Roles & Responsibilities

- Android Application Testing: Perform functional, regression, integration, and exploratory testing of Android applications.
- Test Case Management: Write, maintain, and execute comprehensive test cases based on product requirements and user scenarios.
- Defect Reporting & Tracking: Identify, document, and track defects with clear reproduction steps, logs, and supporting evidence.
- AI & LLM Testing: Test LLM-based systems for response accuracy, relevance, contextual understanding, consistency, and unexpected behavior.
- Conversational Flow Validation:



Validate conversational flows, various user inputs, edge cases, and failure scenarios in AI-powered applications.
- Android Debugging: Utilize Android debugging tools such as ADB and Logcat to investigate issues.
- Test Automation Support: Write basic Python scripts to support internal test automation, test data preparation, and repetitive validation tasks.
- Team Collaboration: Collaborate closely with developers and product teams to validate fixes, report progress, and ensure high product quality.

Requirements & Qualifications

- Experience: 1 to 4 years of experience in software testing, preferably with Android applications.
- Software Testing Fundamentals: Good understanding of core software testing fundamentals, test case design, functional testing, and regression testing.
- AI / LLM Understanding: Basic understanding of LLM-based applications and AI testing concepts.
- Scripting Skills: Basic Python scripting knowledge for testing and automation support.
- Analytical & Communication Skills: Strong analytical, problem-solving, and communication skills.
- Adaptability & Ownership: Ability to take ownership of assigned tasks and deliver within timelines.

Key Skills & Exposure

- Android application testing and debugging tools (ADB, Logcat)
- AI / LLM response testing, conversational flow validation, and edge-case testing
- Basic Python scripting for test automation and data preparation
- Functional, regression, integration, and exploratory testing

Nice to Have / Preferred

- Experience testing voice assistants or conversational AI applications
- Exposure to ASR (Automated Speech Recognition), TTS (Text-to-Speech), or other voice-based technologies
- Basic knowledge of API testing using Postman
- Familiarity with Jira, TestRail, Git, or similar tools

📌 QA Engineer (Android & AI/LLM Testing) (Hyderabad)
🏢 Frugal Testing
📍 Hyderabad