What are the responsibilities and job description for the QA Engineer, AI-Driven position at Synectics Inc.?
Job Summary
- Seeking an AI-first QA Engineer to build and own a next-generation quality function powered by automation and intelligent systems.
- This role is centered on redefining how quality is delivered by leveraging AI to replace traditional manual QA processes and scale testing without increasing headcount.
- The position focuses on building systems that automatically generate test coverage, identify risk, and improve release confidence across web, mobile, and platform services.
- Instead of writing and maintaining manual test cases, you will design workflows that use AI to interpret product requirements, generate test scenarios, and continuously validate application performance.
- The ideal candidate combines strong engineering ability with a deep interest in AI-driven development workflows.
- Work closely with product and engineering teams to embed quality early in the development lifecycle and ensure that testing scales efficiently as the platform grows.
- This is a hands-on, code-first role focused on building systems, not managing manual QA processes.
- Build and own an AI-powered quality function across web, mobile, and platform services
- Design and implement workflows that use AI to generate test cases from product requirements, user journeys, and development tickets
- Convert application flows into automated test coverage across functional, regression, integration, and API layers
- Develop and maintain automation frameworks for web, mobile, and API testing
- Integrate intelligent testing into CI/CD pipelines with dynamic test prioritization and release gating
- Leverage AI tools to diagnose failures, triage issues, and accelerate debugging and resolution
- Continuously evaluate and implement new AI tools and workflows to improve testing efficiency and coverage
- Contribute code through small pull requests to improve product stability and reduce defects
- Review pull requests with a strong focus on quality, test coverage, and risk identification
- Partner with product and engineering teams early to improve feature testability and define validation strategies
- Build dashboards and reporting systems to track coverage, release risk, and system reliability
- Support mobile testing across platforms, including validation, crash monitoring, and edge case handling
- 5 years of experience in QA, test automation, or software engineering with a strong focus on automation
- Proven experience using AI tools to improve development or testing workflows
- Proficiency in at least one modern testing framework such as Playwright or Cypress
- Experience working with APIs, automation scripts, and CI/CD pipelines
- Strong coding ability with experience contributing code and making minor fixes
- Solid understanding of functional, regression, and integration testing methodologies
- Strong communication skills and ability to collaborate across engineering and product teams
- Experience building or scaling QA systems in fast-paced or startup environments is preferred
- Experience with mobile testing frameworks and cross-platform QA is preferred
- Familiarity with AI-driven testing workflows or building automation using LLMs is a strong plus
- Experience building dashboards, observability tools, or quality reporting systems is a plus
- Strong product mindset with the ability to understand user journeys and edge cases
- Strong test automation background with tools like Playwright or Cypress
- Comfortable writing code and contributing to PRs
- Experience working in CI/CD environments (GitHub Actions or similar)
- Hands-on experience using AI tools in development workflows (Copilot, Cursor, Claude, OpenAI)
- Ability to build systems, not just execute test cases
- Has built or significantly improved automation frameworks
- Uses AI to: Generate test cases; Debug issues; Improve development speed
- Understands full user journeys, not just isolated test cases
- Has worked in startup or fast-paced environments
- Thinks in terms of scaling quality, not manual effort
- Opportunity to define and build an AI-first QA function from the ground up
- High ownership role with direct impact on product quality and scalability
- Exposure to cutting-edge AI tools and modern development workflows
- Collaborative environment with strong alignment between engineering and product
Salary : $150,000 - $190,000