Quality Engineer

Quality Engineer (Data & AI) Location - Hyderabad About Us Liquidnitro Games is India’s flagship live services and game production company, founded by industry veterans with a proven track record in producing massively successful games & live services. For game companies, studios and publishers worldwide – we offer world class game development expertise to power creativity, growth and profitability in their games. Role Overview We are seeking a Quality Engineer (Data & AI) to ensure the accuracy, reliability, and scalability of our Data and AI platform. The role focuses on validating data pipelines, analytics, AI-generated insights, recommendations, and autonomous decision-making systems through comprehensive testing and automation. Key Responsibilities Validate batch and real-time data pipelines, ETL processes, and data quality. Perform source-to-target reconciliation and verify KPI, analytics, and reporting accuracy. Test AI-generated insights, recommendations, and decision-making workflows. Validate LLM, RAG, and recommendation systems for accuracy, relevance, and consistency. Design and maintain automated test frameworks for Data and AI platforms. Develop regression suites for data pipelines, AI models, prompts, and workflows. Conduct API, integration, performance, and reliability testing. Establish data quality monitoring and automated validation mechanisms. Required Skills Strong SQL and data validation expertise. Experience testing ETL pipelines, data warehouses, and analytics platforms. Knowledge of AI/ML testing, LLM evaluation, RAG validation, and recommendation systems. Python, PyTest, API testing, and test automation frameworks. Familiarity with cloud platforms (AWS/Azure/GCP) and observability tools. Strong analytical and problem-solving skills. Success Metrics High accuracy and reliability of data pipelines and analytics. Automated coverage for critical Data & AI workflows. Reduced production defects and data quality incidents. Improved confidence in AI-generated insights and recommendations. Ideal Candidate A quality-focused engineer with experience across Data Engineering, Analytics, and AI systems, capable of building scalable testing and automation frameworks that ensure our platform delivers trusted, high-quality insights and recommendations.