AI Quality Assurance Analyst / Quality Assurance Prompt Engineer - Remote -

Hello Job Seekers,

We are Hiring for AI QA Analyst / QA Prompt Engineer - Remote

Job Title: AI QA Analyst / QA Prompt Engineer

Location: Remote – India (Supporting US Time Zone)

Job Type: Long Term Contract

Shift: Night Shift (US Time Zone)

Must have 6+years of experience

Only Immediate Joiners

We are seeking an entry-to-mid level QA professional to join the Quality Center of Excellence team in an AI-focused test design role. This role will support multiple project teams across the organization by using AI tools to accelerate and improve the creation of high-quality test cases, test scenarios, and coverage strategies. In addition to AI-led test design support, this person will help maintain quality assets in qTest and contribute to the long-term vision of integrating approved test cases into Tosca-based automation workflows.

Key Responsibilities

• Support project teams with AI-assisted test design based on user stories, requirements, functional specifications, technical specifications, future-state process documents, scenarios, and existing test assets.
• Analyze project documentation and prior sprint artifacts to create effective prompts that produce high-quality, high-coverage test cases with minimal back-and-forth.
• Act as an AI SME for assigned projects, owning AI-based test case generation and prompt refinement for those teams.
• Design and refine prompts for tools such as ChatGPT, Copilot, and other LLM-based assistants to generate relevant and executable test cases.

Required Qualifications and Core Skills

• 6+ years of experience in software testing, QA, or quality engineering.
• Basic working knowledge of software testing principles, test design techniques, test execution, defect tracking, test management tools, and quality assurance processes.
• Experience working in Agile/Scrum environments with sprints, user stories, and backlog-driven delivery.
• Working knowledge of prompt engineering for QA and test design, including the ability to create structured prompts that improve output quality, reduce iteration, and increase test coverage.
• Ability to analyze user stories and historical test assets from prior sprints in order to design better prompts and generate more accurate, reusable test cases.
• Familiarity with AI-assisted documentation and content generation using tools such as ChatGPT, Copilot, or similar generative AI solutions in a testing or business context.
• Hands-on comfort with test management tools and asset maintenance activities; exposure to qTest is strongly preferred.
• Exposure to or willingness to learn Tosca automation, Tricentis products, and automation-readiness concepts for manual test cases.

Tricentis, Tosca, qTest, or other testing tool certifications are preferred where available.

Thanks & Regards

Ragul Selvaraju

Ragul@radixlink.com

Ph : +91 8610103246

Lead Talent Acquisition | Radixlink Inc