Software Engineer in Test

We are seeking an innovative AI Software Development Engineer in Test (AI-SDET) to join our client’s quality engineering team. An ideal candidate would bridge the gap between traditional QA and artificial intelligence by designing self-healing test automation frameworks, validating Large Language Models (LLMs), and integrating AI agents into CI/CD.Experience Required:6 to 8 years of hands on experience in software quality engineering, test automation and AI ML development. Qualifications/Required Skills:Bachelor’s degree in computer science, or a related field. Proficiency in Python/Java/Scala. Proficiency with modern tools - Playwright. Experience with LLM APIs (e.g. Claude, OpenAI) and agent frameworks (e.g. Lang Chain 0 Clouse based plotforms with AI integration ( Azure Open AI, AWS Open AI)Strong understanding of CI/CD pipelines and containerization (Docker).Strong experience validating complex RESTful APIs, microservices and databases (SQL/NoSQL).Experience with Retail Domain is preferred, not a constraint though Key responsibilities:AI Framework Architecture: Architect and maintain enterprise-grade, scalable automation frameworks. GenAI and Agentic automation: Build intelligent test agents, automated prompt-engineering validators, and self-healing test execution scripts. Model and Evals validation: Design and maintain evaluation frameworks covering hallucination detection, roundedness, toxicity, bias and safety guardrails. Synthetic Data Generation: Design AI-driven data generation pipelines to simulate complex, production-like testing scenarios. ML Pipeline testing: Validate RAG (Retrieval-Augmented Generation) architectures, embedding quality, retrieval accuracy, and vector search relevance. Intelligent testing: Build smart test selection and impact analysis systems that predict which test suits to run based on specific code changes. Framework Development: Develop and enhance scalable, robust automation scripts for UI, API, and backend validation using modern languages and frameworks. CI CD Integration: Work alongside MLOps teams to build continuous testing and automated verification pipelines. Behavioral Skills:Strong analytical and problem-solving skills with a passion for adoption new AI Technologies. Excellent Communication skills and collaboration skills Ability to propose and implement improvements in the system