AI Test Engineer

WSAudiology; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

WSAudiology in Hyderabad is seeking an AI Test Engineer to advance software QA with AI‑assisted testing, translating user stories and UI designs into executable tests. You will validate AI-generated outputs and refine test workflows to boost automation while maintaining high quality and traceability.

The role requires 5–8 years in software QA, hands‑on experience with AI‑assisted coding tools, and the ability to provide context to AI systems, ensure test coverage, and uphold coding standards

Qualifications

• 5–8 years of experience in software QA.
• Hands-on experience with AI-assisted coding or testing tools.
• Experience translating user stories and UI designs into test scenarios.
• Ability to validate AI-generated outputs and refine tests.
• Knowledge of test automation workflows and quality standards.

Responsibilities

• Translate user stories, acceptance criteria, and UI specs into AI-generated test scenarios.
• Build and improve AI-assisted testing workflows with context from requirements and designs.
• Apply prompt and context engineering to guide AI test generation and maintenance.
• Review, debug, and refine AI-generated tests and automation code.
• Identify opportunities to automate the test-development lifecycle.

Skills

Software QA

AI-assisted testing

Test automation

Requirements analysis

Context engineering

Tools

GitHub Copilot

Claude Code

Job description

Driven by the passion to improve quality of people’s lives, WSA continues to grow as market leader in the hearing aid industry. With our commitment to increase penetration in an underserved hearing care market, we want to accelerate our business transformation in order to reach more people, more effectively.

We are looking for an AI Test Engineer who combines strong software quality assurance and test automation experience with hands‑on expertise in AI‑assisted testing. The role involves using requirements such as user stories, acceptance criteria, and Figma designs to generate test scenarios and executable automated tests using AI tools.

The ideal candidate can effectively provide the right context to AI tools, validate AI‑generated outputs, and continuously improve test development workflows to accelerate automation while ensuring high standards of quality, accuracy, traceability, and maintainability.

What you will do

• Use AI‑assisted engineering tools such as GitHub Copilot, Claude Code, or similar solutions to translate user stories, acceptance criteria, and UI/UX specifications such as Figma designs into test scenarios and executable automated tests.

• Build and improve AI‑assisted testing workflows where requirements and design artifacts can be provided as context and used to generate, update, and expand automated tests with minimal manual scripting.

• Apply prompt engineering and context engineering techniques to provide AI tools with requirements, application context, coding standards, existing automation frameworks, and relevant design information so that generated tests are accurate and maintainable.

• Review, validate, debug, and refine AI‑generated test scenarios and automation code rather than accepting generated output without verification.

• Identify opportunities to automate the test‑development lifecycle, including requirements analysis, test generation, test‑data creation, regression maintenance, failure analysis, and coverage expansion.

What you bring

Experience

• 5–8 years of experience in software QA

• Hands‑on experience using AI‑assisted coding or engineering tools such as GitHub Copilot, Claude Code, or equivalent tools for software testing and test automation.

• Experience using requirements such as user stories, acceptance criteria, and UI/UX designs as context for AI‑assisted generation of test scenarios and automated tests.

• Experience creating or configuring AI‑assisted workflows that can transform requirements into executable automation, rather than using AI only for ad‑hoc code completion or general‑purpose prompting.

• Ability to provide application‑specific context to AI tools, including existing automation code, framework conventions, requirements, design information, and test data, to improve generated test quality.

• Practical understanding of validating AI‑generated tests for correctness, coverage, maintainability, traceability to requirements, and potential hallucinations or incorrect assumptions.

Personal competencies

• Strong analytical thinking and problem‑solving skills.

• Attention to detail and a risk‑based approach to quality assurance.

• Curiosity and a proactive mindset when exploring complex workflows and edge cases.

• Willingness to adopt AI‑assisted tools to improve productivity and test coverage.

• Effective communication and collaboration across technical and clinical teams.

• Ownership of testing outcomes, defect resolution, and release quality.

Who we are

At WSA, we provide innovative hearing aids and hearing health services.

Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world.

With us, you will become part of a truly global company where we care for one another, welcome diversity and celebrate our successes.

Sounds wonderful?We can't wait to hear from you.

WSA is an equal‑opportunity employer andcommitted to creating an inclusive employee experience for all. Regardless of race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status we firmly believe that our work is at its best when everyone feels free to be their most authentic self.