Quality Assurance Engineer

Key Responsibilities

• Perform end-to-end QA on the Nexoar platform, including AI-powered features.
• Review requirements, user stories, and models/logic to identify risks and edge cases.
• Create and maintain clear test plans, test cases, and test documentation.
• Execute manual testing (smoke, regression, exploratory) across releases.
• Validate AI outputs for accuracy, consistency, bias, and edge conditions.
• Identify, log, and track bugs with clear reproduction steps and expected behavior.
• Collaborate closely with developers and product managers to debug issues.
• Contribute to designing and building QA automation frameworks for Nexoar.
• Write and maintain automated tests for critical user flows, APIs, and AI pipelines.
• Help integrate automated tests into CI/CD pipelines.
• Improve QA processes, tools, and best practices as the product and AI capabilities scale.
• Advocate for quality, reliability, and responsible AI usage in product decisions.

Requirements & Tech Stack

• Frontend: Modern JavaScript framework (e.g., React).
• Backend: API-driven architecture (REST / GraphQL).
• Databases: SQL / NoSQL.
• AI/ML: AI-driven features, model integrations, or LLM-based services.
• Infrastructure: Cloud-based (AWS / GCP / Azure).
• CI/CD: Git-based workflows with automated deployments.
• QA Tools: Jira (or similar), Postman, browser dev tools.
• Automation: Playwright / Cypress / Selenium (flexible).

Qualifications

• Strong manual testing skills with modern web platforms.
• Experience testing APIs and backend services.
• Hands-on experience with test automation tools.
• Comfortable writing automated tests (JavaScript, TypeScript, or similar).
• Experience testing AI-driven features (LLMs, ML models, or AI APIs).
• Understanding of AI testing challenges (non-determinism, data quality, edge cases).
• Experience working in Agile / startup environments.
• Strong ownership mindset and attention to detail.