The Role
Perform functional, regression, integration, end-to-end, and compatibility testing for Android and iOS applications. Develop and maintain Appium-based automation frameworks, validate APIs, troubleshoot network traffic with Charles Proxy, and analyze mobile logs. Design test cases, investigate defects, and support release quality. Apply AI tools to testing and evaluate LLM, RAG, and AI-agent features for accuracy, relevance, reliability, grounding, and hallucination risks.
Summary Generated by Built In
Job Description: Mobile Application Test Engineer – AI-Enabled Testing
About Anblicks
Role Overview
Key Responsibilities
Required Technical Skills
Good to Have
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.
- Strong 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.
- 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.
- 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.
Skills Required
- 5+ years of experience in mobile application testing
- Hands-on Android and iOS testing using real devices, simulators, and emulators
- Experience with functional, regression, integration, end-to-end, and compatibility testing
- Strong working knowledge of Charles Proxy and HTTPS traffic inspection
- Experience analyzing Android Logcat and iOS application or device logs
- API testing experience with Postman, 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 Jira, Git, Agile methodologies, SDLC, STLC, test design, defect management, and risk-based testing
- Hands-on experience with Appium or equivalent mobile automation frameworks
- Understanding of Page Object Model or Screen Object Model and reusable automation components
- Experience with test runners, test data management, reporting, synchronization, and flaky-test troubleshooting
- Familiarity with TestNG or JUnit, Maven or Gradle, and CI/CD integration using Jenkins or similar tools
- Understanding of Generative AI, LLMs, prompt engineering, and AI-assisted testing
- Knowledge of LLM evaluation, including accuracy, relevance, consistency, and hallucination detection
- Understanding of RAG pipelines, 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, data privacy, and prompt injection risks
- Experience with BrowserStack, Sauce Labs, or cloud-based mobile testing platforms
- Exposure to LangChain, LlamaIndex, LLM APIs, or vector databases
- Familiarity with RAGAS or DeepEval
- Knowledge of SQL, mobile performance testing, application security, and CI/CD pipelines
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
