Description
& Summary: We are seeking an AI Test Automation Engineer with proven expertise in automation frameworks and a strong understanding of Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI systems.Responsibilities:
· Design and develop AI-driven QA agents using frameworks such as LangChain, AutoGen, LlamaIndex, or Semantic Kernel to automate validation and test execution workflows.
· Build intelligent automation pipelines capable of reasoning over structured and unstructured data to support QA activities.
· Develop RAG-enabled test agents that retrieve and contextualize test assets, requirements, and historical defects for intelligent recommendations.
· Integrate LLMs and AI models with automation frameworks to enable adaptive test generation, self-healing scripts, and context-aware validation.
· Design modular automation frameworks using Selenium WebDriver, Playwright, or Cypress in Python, Java, or C#.
· Collaborate with AI and DevOps teams to operationalize Agentic QA workflows within CI/CD pipelines.
· Validate LLM outputs for accuracy, grounding, and factual consistency, ensuring high-quality AI behavior in production environments.
· Perform data validation and testing across structured (SQL, relational) and unstructured (NoSQL, vector DBs) databases.
· Contribute to AI Quality Engineering accelerators and internal innovation initiatives within the Test CoE.
Mandatory skill sets:
· · Proficiency in test automation tools (Selenium, Playwright, Cypress) and frameworks (TestNG, PyTest, Cucumber).
· · Strong programming skills in Python, with exposure to AI libraries and frameworks (LangChain, LlamaIndex, OpenAI APIs).
· · Good understanding of LLM architectures, RAG pipelines, and Agentic AI concepts (task orchestration, reasoning loops, and autonomy).
· · Experience integrating with vector databases (Pinecone, Weaviate, FAISS, Chroma) and cloud data stores.
· · Familiarity with DevOps and CI/CD ecosystems (Jenkins, GitHub Actions, Azure DevOps).
· · Strong problem-solving and analytical skills with a passion for AI-driven quality engineering.
· · Excellent communication skills and ability to collaborate across Agile teams.
Preferred skill sets:
· Hands-on experience with AI observability and tracing tools (LangSmith, DeepEval).
· Understanding of Responsible AI principles and model interpretability practices.
· Prior work building custom AI agents or copilots for QA, automation, or DevOps use cases.
· Certifications in AI/ML, Test Automation, or Cloud Technologies.
Years of experience required:
3+ to 7 Years of Experience in software automation testing and QA
Education qualification:
B.E. / B.Tech / MCA/ M.E/ M.TECH/ MBA/ PGDM.
All qualifications should be in regular full-time mode with no extension of course duration due to backlogs