QA Engineer
Virallens
QA Engineer
Virallens
AI-native software engineering and digital marketing
Virallens · Bengaluru, India · — · Posted 2026-08-18
Workplace: on_site
Role : QA Engineer
Location: Bengaluru, Karnataka (On-site)
Employment Type: Full-time
Experience: 2–6 Years
About the Role
As a Testing Engineer, you will be responsible for ensuring the quality, reliability, performance, and usability of our web applications, APIs, enterprise platforms, and AI-powered products.
You'll work across manual testing, API testing, automation testing, regression testing, integration testing, and performance validation, collaborating closely with Engineering, AI, Product, and Platform teams.
Rather than focusing only on executing predefined test cases, you'll take ownership of product quality by understanding requirements, identifying risks, designing effective test strategies, automating repetitive validation, and ensuring that releases meet high-quality standards.
You'll be involved throughout the software development lifecycle—from requirement analysis and test planning to release validation and production quality monitoring.
What You'll Do
Functional & Manual Testing
Test Automation
API & Backend Testing
Performance & Reliability Testing
Defect Management & Quality Engineering
AI Application Testing (Preferred)
What We're Looking For
Required Skills
Nice to Have
What You'll Test
You'll ensure the quality of web applications, REST APIs, enterprise platforms, microservices, AI-powered applications, RAG systems, integrations, and critical end-to-end business workflows.
Your work will directly contribute to delivering reliable, scalable, secure, and high-quality products to our customers.
What Will Help You Succeed
We're looking for someone who:
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Virallens is a Bengaluru-based digital agency focusing on AI-native solutions, engineering, and digital marketing. It builds custom AI-powered apps, workflow automation, and RAG-based intelligence systems, using AI agents and copilots with human oversight, plus data pipelines to turn unstructured data into searchable knowledge; it also offers Generative Engine Optimization (GEO) to boost brand presence on AI platforms. The company differentiates itself by combining technical AI development, research, and creative marketing under one roof, delivering MVPs and integrating fragmented systems. Its goal is to help clients run more efficiently and gain visibility in AI-powered environments through practical, data-driven solutions.
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