Intermediate QA Analyst - Contract (6 months)
environicsanalytics
- Employment
- Contract
- Seniority
- Mid
About the role
Role Objective:
The QA Analyst will be an integral part of the product development team, ensuring high-quality delivery across modern, AI-driven applications. This role focuses on validating core application features, agent-based workflows, and automation frameworks, alongside traditional manual testing in a fast-paced Agile environment.
The ideal candidate is detail-oriented, proactive, and comfortable working with emerging technologies such as AI/ML systems, prompts, and agent-based workflows, while maintaining strong fundamentals in QA practices.
Specific Responsibilities and Duties:
- Perform manual testing of web applications, including UI, functional, exploratory, and regression testing
- Validate AI-driven features, including prompt-based outputs, recommendations, and decision workflows
- Test and verify agent-based systems and integrations, ensuring accuracy, reliability, and edge-case handling
- Create and execute test plans, test cases, and test scenarios with clear coverage of AI behaviors and expected outcomes
- Design, develop, and maintain automated test scripts using Playwright
- Identify and document defects with detailed steps, logs, and supporting evidence
- Collaborate with developers, product managers, and stakeholders to understand requirements and clarify expected AI behavior
- Participate in Agile ceremonies (daily stand-ups, sprint planning, retrospectives, defect triage)
- Validate backend data flows and integrations where applicable
- Continuously improve QA processes, especially around AI testing strategies and automation coverage
- Perform risk analysis for AI-related features (e.g., unexpected outputs, inconsistencies, performance concerns)
Qualifications and Required Skills:
Education & Experience
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
- 3+ years of experience in software QA (manual + automation)
Technical Skills
- Strong experience in manual testing (functional, regression, exploratory)
- Hands-on experience with Playwright (preferred) or similar automation frameworks
- Experience testing modern web applications (UI + backend integration)
- Basic understanding of AI/ML concepts, LLMs, or prompt-based systems
- Experience testing AI features, recommendations, or conversational systems is a strong asset
- Familiarity with agent-based workflows or automation tools involving AI is highly desirable
- Experience with API testing (preferred) (Postman or Swagger)
- Working knowledge of SQL and data validation
- Familiarity with CI/CD pipelines and automated test execution
- Experience with Agile methodologies and tools such as Azure DevOps
Analytical & Soft Skills
- Strong problem-solving and debugging skills, especially for non-deterministic AI outputs
- Ability to think critically about edge cases, data variations, and unexpected system behavior
- Excellent communication skills (verbal and written)
- Strong attention to detail and organizational skills
- Ability to work collaboratively across teams in a fast-paced environment
- Curiosity and willingness to learn emerging AI testing practices and tools
741,000+ hidden jobs like this
environicsanalytics and thousands of companies post here first — often days before LinkedIn or Indeed. Your first 5 applications are free; go Pro to apply without limits.
Everything Pro unlocks:
- Unlimited applications — free stops at 5
- Track every application in one place
- Apply straight to the source, one click
- Save & organize roles you love
- Roles pulled from company boards before the big sites