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.
