: Mobile Application Test Engineer – AI-Enabled Testing

Location: Hyderabad, India

Experience: 5 Years

About Anblicks

Anblicks is a Great Place to Work® Certified™ Data and AI company, helping enterprises build modern data platforms, cloud solutions, and AI-powered applications.

Role Overview

We are looking for a skilled Mobile Application Test Engineer with strong experience in Android and iOS testing, mobile test automation, API validation, and network troubleshooting. The ideal candidate should have hands-on expertise with Charles Proxy, device logs, and Appium, along with exposure to AI-powered testing, LLMs, RAG pipelines, and AI agents.

Key Responsibilities

- Perform functional, regression, integration, end-to-end, and compatibility testing of Android and iOS applications.

- Test on real devices, simulators, and emulators across different OS versions and configurations.

- Analyze HTTP/HTTPS traffic using Charles Proxy to troubleshoot API requests, responses, and network-related issues.

- Debug application crashes and failures using Android Logcat and iOS device logs.

- Perform API testing using Postman and validate mobile-to-backend integrations.

- Design test scenarios, test cases, test data, and reusable automation utilities.

- Develop, maintain, and troubleshoot mobile automation frameworks.

- Perform root cause analysis and document defects with supporting logs, screenshots, and recordings.

- Leverage AI tools for test case generation, test automation, log analysis, and defect investigation.

- Validate AI-enabled features for response accuracy, relevance, consistency, and reliability.

- Collaborate with developers, product teams, and QA engineers to ensure release quality.

Required Technical Skills

- Strong understanding of SDLC, STLC, test design techniques, defect management, and risk-based testing.





- Hands-on experience with Android and iOS application testing on real devices and simulators/emulators.

- Solid working knowledge of Charles Proxy, HTTPS traffic inspection, and API troubleshooting.

- Experience analyzing Android Logcat and iOS application/device logs.

- Good understanding of REST APIs, HTTP/HTTPS, JSON, authentication, and client-server architecture.

- Programming knowledge in Java, Python, or JavaScript.

- Understanding of mobile application lifecycle, permissions, deep links, push notifications, and local storage.

- Experience with Postman, Jira, Git, and Agile methodologies.

Test Automation & Frameworks

- Hands-on experience with Appium or equivalent mobile automation frameworks.

- Understanding of Page Object Model/Screen Object Model and reusable framework components.

- Experience with test runners, test data management, reporting, synchronization, and flaky test troubleshooting.

- Familiarity with TestNG/JUnit, Maven/Gradle, and CI/CD integration using Jenkins or similar tools.

- Ability to debug, enhance, and maintain scalable automation frameworks.

AI, LLM, RAG & AI Agents

- Understanding of Generative AI, LLMs, prompt engineering, and AI-assisted testing.

- Exposure to AI-driven test case generation, test script assistance, and automated defect analysis.

- Knowledge of LLM evaluation, including response accuracy, relevance, consistency, and hallucination detection.

- Understanding of RAG pipelines and testing retrieval accuracy, source grounding, and response quality.

- Familiarity with AI agents, tool calling, API integrations, error handling, and task completion validation.

- Awareness of responsible AI practices, data privacy, and prompt injection risks.

Good to Have

- Experience with BrowserStack, Sauce Labs, or cloud-based mobile testing platforms.

- Exposure to LangChain, LlamaIndex, LLM APIs, or vector databases.

- Familiarity with AI evaluation tools such as RAGAS or DeepEval.

- Knowledge of SQL, mobile performance testing, application security, and CI/CD pipelines.

📌 Mobile Application Test Engineer – AI-Enabled Testing (Hyderabad)
🏢 Anblicks
📍 Hyderabad