Quality Engineer

Liquidnitro Games; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Liquidnitro Games, based in India, is seeking a Quality Engineer (Data & AI) in Hyderabad to ensure accuracy, reliability, and scalability of our Data and AI platform. You will validate data pipelines, analytics, AI-driven insights, and autonomous decision-making workflows.

The role involves designing automated test frameworks, validating AI models, prompts, and recommendations, and performing API/integration/performance testing to reduce production defects and improve data quality.

Qualifications

• 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.

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 & data validation

ETL testing

AI/ML testing

Python & PyTest

Cloud platforms

Analytical thinking

Job description

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.