All Jobs/Work AI
Work AI
Engineering💼 FullTime

Quality Assurance Engineer at Work AI

Work AI
•2 months ago
Location

Bangalore, India

Salary

₹12-20 LPA

Apply By

ASAP

Views

40

Eligible Batches

🎓 2+Y Batch🎓 2026 Batch

Job Description

Design and develop AI-powered features and integrations as a Quality Assurance Engineer at Work AI, a cutting-edge Work AI platform.

Nice to Have

Experience with large-scale data processing and storage Knowledge of natural language processing (NLP) and computer vision Familiarity with DevOps tools and practices

Eligibility Criteria

B.Tech/B.E. 2+Y Batch, preferably from top-tier colleges

Tech Stack & Ecosystem

TestNGJUnitJavaPythonAIWorkPlatform

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Quick Info

TypeFullTime
RoleQuality Assurance Engineer
Work Mode🏢 On-site
Eligible Batches
2+Y2026

Tech Stack

TestNGJUnitJavaPythonAIWorkPlatform

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Career Advice

Company Insights

As a Quality Assurance Engineer at Work AI, you'll have the unique opportunity to work at the intersection of technology and human experience. The company's AI-powered platform aims to revolutionize the way work gets done, and you'll play a crucial role in ensuring its high-quality performance. By joining Work AI, you'll be part of a dynamic team that values innovation, teamwork, and continuous learning. With a strong focus on employee growth and development, you'll have access to opportunities for skill-building, mentorship, and career advancement. Whether you're looking to develop your technical skills, expand your professional network, or simply contribute to something meaningful, Work AI offers a fulfilling and challenging work environment that will help you grow both personally and professionally.

Interview Guide

To ace an interview for the Quality Assurance Engineer position at Work AI, be prepared to dive deep into the technical aspects of the role. Focus on developing a thorough understanding of testing frameworks, tools, and methodologies, as well as programming languages such as Java and Python. Additionally, highlight your experience in collaborating with cross-functional teams to build and maintain large-scale software applications. Practice behavioral questions that demonstrate your problem-solving skills, communication skills, and adaptability. Be ready to showcase your expertise in testing and debugging techniques, as well as your ability to prioritize and manage multiple tasks under tight deadlines. Finally, be prepared to discuss your experience with AI-powered technologies and how you see yourself contributing to the company's mission to revolutionize the way work gets done.