AI Quality Engineer (Contract)

About this role

AI Quality Engineer Location:- Hyderabad Work Mode:- WFO (5 days a week) Role Type:- Contractual (3 months and extension would depend on project requirement and performance) Key Responsibilities * Test and validate AI-generated insights, recommendations, and decision-making workflows. * Evaluate LLM and RAG systems for accuracy, relevance, consistency, factuality, and hallucinations. * Validate retrieval quality, context relevance, grounding, and response quality in RAG systems. * Test AI agents and autonomous workflows across functional, negative, and edge-case scenarios. * Define AI evaluation criteria, test datasets, quality metrics, and validation processes. * Perform regression testing for models, prompts, RAG configurations, and AI workflows. * Collaborate with AI/ML engineers to identify issues and improve AI system quality. Required Skills * Strong understanding of AI/ML and Generative AI testing. * Hands-on experience testing LLM and RAG-based applications. * Knowledge of LLM evaluation, hallucination detection, relevance, and response quality. * Understanding of AI agents and recommendation systems. * Strong analytical and problem-solving skills. Good to Have * Experience with PyTest and automated testing frameworks. * Experience building automated AI evaluation and regression frameworks. * Familiarity with tools such as RAGAS, DeepEval, LangSmith, or equivalent. * Experience with CI/CD-based test automation, performance testing, or AI guardrails. * Familiarity with cloud platforms (AWS/Azure/GCP) and observability tools. Success Metrics * High accuracy, relevance, and reliability of AI outputs. * Strong evaluation coverage across critical AI workflows. * Early detection and reduction of hallucinations and AI regressions. * Reduced production AI quality issues. * Increased confidence and trust in AI-generated insights and recommendations.