#23016-SDET - AI ML Validation Engineer

Experience Range: 7-10 years Job Location: Bangalore with Hybrid Primary Skill AI Validation & Testing Chatbot & RAG Testing • LLM/Prompt Evaluation • Python Validation AI Solution Testing: Validates AI-powered solutions including chatbots and generative AI features for accuracy, reliability, and edge cases RAG Validation: Tests Retrieval-Augmented Generation pipelines for retrieval relevance, grounding, and hallucination handling Agentic AI: Builds and tests agentic solutions such as MCP and prompting Test Data & AI Evaluation Data Quality • AI Eval Metrics • Responsible AI Test Data Management: Curates and versions golden/evaluation datasets and validates data pipelines for integrity, completeness, and drift across training and inference AI Evaluation: Hands-on with evaluation frameworks and metrics such as RAGAS, DeepEval, and LLM-as-judge, covering groundedness, relevance, and precision/recall Responsible AI & Privacy: Bias and fairness checks, safety/guardrail, and PII/data-leakage validation Languages & Frameworks Python • Pytest Core Languages: Proficient in Python for automation Test Frameworks: Hands-on with Pytest, or equivalent Framework Design: Build, scale, and maintain automation frameworks end-to-end Secondary Skill UI & API Testing UI Automation • REST/GraphQL APIs • Contract Testing UI Automation: End-to-end browser testing across modern web applications. Well versed with BDD frameworks like Cucumber/SpecFlow API Testing: Validates REST/GraphQL APIs across microservices for correctness and edge cases Cross-layer Coverage: Bridges UI and API layers for integrated test coverage Tools: Experience with tools like Postman/Insomnia/Newman Cloud, Infrastructure & CI/CD AWS • SQL • CI/CD Pipelines Cloud Exposure: Working knowledge of AWS/Azure services for test environments SQL Proficiency: Uses SQL to query, validate, and debug data confidently CI/CD Integration: Integrates test suites into Jenkins, GitHub Actions, GitLab CI, etc.