QA Engineer- Manual Testing, Automation & AI-Driven Process Automation (Immediate Joiners only)

AIMLEAP; Bengaluru; Remote; INR 650,000 - 1,100,000; Full time

Job summary

AIMLEAP in Bengaluru seeks a detail-oriented QA Engineer to assure data integrity and software quality. You will combine manual testing with automation, validating outputs against requirements and helping shape QA processes with AI-assisted techniques.

Your role includes designing test cases, executing tests, reporting defects, and developing basic automation scripts. You’ll collaborate with developers and analysts in a remote-friendly setup to raise the bar on product quality.

Qualifications

• 3–4 years of experience in Quality Assurance, software testing, data validation, or related role.
• Strong hands-on experience in manual testing, test case design, test execution, and defect reporting.
• Ability to write, execute, debug, and maintain basic automation scripts.
• Familiarity with AI-powered development and productivity tools such as ChatGPT, GitHub Copilot, Cursor, or equivalent tools.
• Ability to identify repetitive manual tasks and convert them into automated workflows.
• Good analytical, troubleshooting, and problem-solving skills.
• Strong attention to detail and commitment to high-quality deliverables.
• Good communication skills and ability to work independently in a remote environment.

Responsibilities

• Perform manual testing and quality checks to ensure data and application outputs are accurate and complete.
• Validate test results against business requirements and quality standards.
• Identify, document, track, and report defects with clear reproduction steps and evidence.
• Develop, maintain, and execute automated test scripts to reduce repetitive testing.
• Identify opportunities to automate existing manual workflows and implement solutions.
• Leverage AI tools to assist with test case creation, script development, and debugging.
• Perform regression testing when changes are introduced.
• Validate large datasets and investigate data discrepancies.
• Prepare and maintain test cases, execution reports, and QA documentation.
• Collaborate with developers and analysts to resolve issues and improve quality.
• Continuously identify QA process improvements through scripting and AI-assisted automation.

Skills

Manual testing

Test case design

Test execution

Defect reporting

Data validation

Analytical thinking

Communication

Remote work

Education

Bachelor's degree in Computer Science/Information Technology/Engineering

Tools

ChatGPT

GitHub Copilot

Cursor

SQL

Job description

Educational Qualification: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

Industry: IT / Software Services / Data Analytics

Notice Period: Immediate joiners preferred

What We Are Looking For

We are looking for a detail-oriented QA Engineer with strong manual testing skills, knowledge of test automation, and an interest in leveraging AI tools to automate repetitive manual processes. The ideal candidate should be capable of validating data, identifying defects, improving testing efficiency, and developing automation solutions to reduce manual effort.

Key Responsibilities

• Perform manual testing and quality checks to ensure the accuracy, completeness, and consistency of data and application outputs.
• Validate test results against business requirements, expected outputs, and predefined quality standards.
• Identify, document, track, and report defects with clear reproduction steps and supporting evidence.
• Develop, maintain, and execute automated test scripts to reduce repetitive manual testing activities.
• Identify opportunities to automate existing manual workflows and implement solutions to improve productivity and turnaround time.
• Leverage AI tools such as ChatGPT, GitHub Copilot, Cursor, or similar tools to assist with test case creation, script development, debugging, and test automation.
• Perform regression testing whenever changes or fixes are introduced.
• Validate large datasets, identify duplicate or missing records, and investigate data discrepancies.
• Prepare and maintain test cases, test scenarios, test execution reports, defect logs, and QA documentation.
• Collaborate with developers, business analysts, and project teams to resolve issues and improve overall product quality.
• Continuously identify opportunities to improve QA processes through scripting, AI-assisted automation, and workflow optimization.

Required Skills and Qualifications

• 3–4 years of experience in Quality Assurance, software testing, data validation, or a related role.
• Strong hands‑on experience in manual testing, test case design, test execution, and defect reporting.
• Ability to write, execute, debug, and maintain basic automation scripts.
• Familiarity with AI‑powered development and productivity tools such as ChatGPT, GitHub Copilot, Cursor, or equivalent tools.
• Ability to identify repetitive manual tasks and convert them into automated workflows.
• Good analytical, troubleshooting, and problem‑solving skills.
• Strong attention to detail and commitment to maintaining high‑quality deliverables.
• Good communication skills and the ability to work independently in a remote environment.

Good to Have

• Experience using AI tools to generate test scripts, analyze errors, or automate QA workflows.
• Basic knowledge of SQL and database validation.
• Familiarity with GitHub, GitHub Issues, pull requests, and version control.
• Experience with API testing, regression testing, and data‑driven testing.
• Experience with Excel, Power Query, or Python for data validation and process automation