Sr. SDET JAVA / Sr. AT - Java (Hyderabad)

We are in search of a dedicated Java Automation Test Engineer to join our team, spearheading the automated testing process. This is an exceptional prospect for a testing professional with a strong background in Java automation and experience in software and system testing. Work Mode: Hybrid Mandatory Skills : Java, REST Assured, Selenium / Playwright ,GenAI / Agentic AI, TestNG,BDD cucumber,Web Service / API Test Automation, Web UI Testing Tools Responsibilities - Design, develop, and maintain scalable UI and API automation frameworks using Java. - Build and execute automated test suites for web applications and REST APIs. - Contribute to the implementation, integration, or testing of AI/GenAI-powered applications and features. - Validate AI/LLM-based applications for functionality, accuracy, reliability, and performance. - Design test strategies for AI-enabled systems, including prompt validation, response quality, and regression testing. - Collaborate with developers, product managers, and AI engineers throughout the SDLC. - Integrate automated tests into CI/CD pipelines. - Drive automation best practices and mentor junior engineers. - Participate in code reviews and improve framework quality. Required Skills Test Automation - Strong Java programming skills - Selenium or Playwright - REST API Automation using Rest Assured or similar - TestNG/JUnit - Maven/Gradle - Git - Jenkins, GitHub Actions, Azure DevOps, or similar CI/CD tools AI / GenAI (Must Have) Candidates should have hands-on implementation experience in one or more of the following: - Integration with OpenAI, Azure OpenAI, Gemini, Claude, or similar LLMs - AI feature development or AI-powered product capabilities - AI-assisted test automation - Retrieval-Augmented Generation (RAG) - AI Agents / Agentic AI - LangChain, LangGraph, Semantic Kernel, CrewAI, or similar frameworks - Prompt engineering for production applications - AI response validation and evaluation - LLM testing and quality assurance - Vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Milvus Note: Experience should involve designing, developing, integrating, or testing AI-based solutions, not just using AI tools for code generation or productivity. We are in search of a dedicated Java Automation Test Engineer to join our team, spearheading the automated testing process. This is an exceptional prospect for a testing professional with a strong background in Java automation and experience in software and system testing. Work Mode: Hybrid Mandatory Skills : Java, REST Assured, Selenium / Playwright ,GenAI / Agentic AI, TestNG,BDD cucumber,Web Service / API Test Automation, Web UI Testing Tools Responsibilities - Design, develop, and maintain scalable UI and API automation frameworks using Java. - Build and execute automated test suites for web applications and REST APIs. - Contribute to the implementation, integration, or testing of AI/GenAI-powered applications and features. - Validate AI/LLM-based applications for functionality, accuracy, reliability, and performance. - Design test strategies for AI-enabled systems, including prompt validation, response quality, and regression testing. - Collaborate with developers, product managers, and AI engineers throughout the SDLC. - Integrate automated tests into CI/CD pipelines. - Drive automation best practices and mentor junior engineers. - Participate in code reviews and improve framework quality. Required Skills Test Automation - Strong Java programming skills - Selenium or Playwright - REST API Automation using Rest Assured or similar - TestNG/JUnit - Maven/Gradle - Git - Jenkins, GitHub Actions, Azure DevOps, or similar CI/CD tools AI / GenAI (Must Have) Candidates should have hands-on implementation experience in one or more of the following: - Integration with OpenAI, Azure OpenAI, Gemini, Claude, or similar LLMs - AI feature development or AI-powered product capabilities - AI-assisted test automation - Retrieval-Augmented Generation (RAG) - AI Agents / Agentic AI - LangChain, LangGraph, Semantic Kernel, CrewAI, or similar frameworks - Prompt engineering for production applications - AI response validation and evaluation - LLM testing and quality assurance - Vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Milvus Note: Experience should involve designing, developing, integrating, or testing AI-based solutions, not just using AI tools for code generation or productivity.