Quality Engineer

Liquidnitro; Hyderabad; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Liquidnitro Games seeks a Quality Engineer (Data & AI) to ensure the accuracy, reliability, and scalability of our Data and AI platform. You will validate data pipelines, analytics, AI-generated insights and autonomous decision-making workflows through comprehensive testing and automation.

The role focuses on validating batch and real-time data pipelines, AI models, prompts, and related workflows, with emphasis on reliability and data quality.

Qualifications

• Strong SQL and data validation skills required.
• Experience testing ETL pipelines, data warehouses, and analytics platforms.
• Knowledge of AI/ML testing, LLM evaluation, RAG validation, and recommendation systems.

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.

Skills

SQL Validation

ETL Testing

AI/ML Testing

Python & PyTest

Cloud Platforms

Observability Tools

Analytical Skills

Tools

PyTest

APIs testing

Job description

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 ensurethe accuracy, reliability, and scalability of our Data and AI platform. Therole focuses on validating data pipelines, analytics, AI-generated insights,recommendations, and autonomous decision-making systems through comprehensivetesting and automation.

Key Responsibilities

• Validate batch andreal-time data pipelines, ETL processes, and data quality.
  
• Perform source-to-targetreconciliation and verify KPI, analytics, and reporting accuracy.
  
• Test AI-generatedinsights, recommendations, and decision-making workflows.
  
• Validate LLM, RAG, andrecommendation systems for accuracy, relevance, and consistency.
  
• Design and maintainautomated test frameworks for Data and AI platforms.
  
• Develop regression suitesfor data pipelines, AI models, prompts, and workflows.
  
• Conduct API, integration,performance, and reliability testing.
  
• Establish data qualitymonitoring and automated validation mechanisms.
  

Required Skills

• Strong SQL and datavalidation expertise.
  
• Experience testing ETLpipelines, data warehouses, and analytics platforms.
  
• Knowledge of AI/MLtesting, LLM evaluation, RAG validation, and recommendation systems.
  
• Python, PyTest, APItesting, and test automation frameworks.
  
• Familiarity with cloudplatforms (AWS/Azure/GCP) and observability tools.
  
• Strong analytical andproblem-solving skills.
  

Success Metrics

• High accuracy andreliability of data pipelines and analytics.
  
• Automated coverage forcritical Data & AI workflows.
  
• Reduced production defectsand data quality incidents.
  
• Improved confidence inAI-generated insights and recommendations.
  

Ideal Candidate

A quality-focused engineer with experience across DataEngineering, Analytics, and AI systems, capable of building scalabletesting and automation frameworks that ensure our platform delivers trusted,high-quality insights and recommendations.