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Role Overview As an AI Quality Engineer, you will be the strategic lead for quality within our AI-driven product ecosystem. You will be responsible for validating non-deterministic AI outputs and microservices. You will use tools like Claude Code, Cursor, and Gemini, moving from manual oversight to high-velocity, AI-augmented delivery. You will ensure that our AI products are not only functional but reliable, ethical, and scalable. Core Responsibilities AI-First Test Strategy & Planning: Define and implement the end-to-end test strategy for major AI product areas. AI-Augmented Automation: You will adopt Cursor and Claude Code to refactor existing frameworks, develop new frameowrk, migrate legacy framework to modern technologies and automate the creation of test suites.Defect Management & Root Cause Analysis: You will perform Root Cause Analysis, submit bugs and ensure their timely resolution. Documentation & Reporting: You will document your work and report on quality metrics to stakeholders. Required Qualifications AI Toolchain Mastery: Expert-level experience using AI coding assistants (Claude Code, Cursor) and LLMs (Gemini, GPT-4) to accelerate the SDLC.SDLC Experience: Proven track record of product delivery in an Agile environment with a focus on CI/CD (ADO and GitHub Actions).Technical Stack: Proficiency in C#, Python or JavaScript and experience with modern testing frameworks (e.g., Selenium, Playwright, Nunit, PyTest).Autonomy: Ability to create cases, execute tests manually and automate with minimal oversight.Education/Experience: 2-3 years in Quality Engineering with a focus on Web and Mobile Applications testing. Skills:- Anthropic Claude, cursorAI, Google Gemini API, ChatGPT, Test Automation (QA), Manual testing, Playwright, Javascript, pytest and Python .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.