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.