
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.

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Key Skills
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- GRC domain knowledge (Risk, Compliance, BCP)
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Package - Upto 4.2 LPA
Experience - 1 - 3 years
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CTC: 12 LPA
Employment Type: Full Time
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Navgurukul is a collective of changemakers who are passionate about creating a large-scale social impact, particularly, improving the quality of our education system while making it accessible to the marginalised communities.
We train students from low-income & marginalised communities in Software Engineering in our residential programme for students for enabling them to get aspirational jobs, have a voice, and be equipped to bring at least 10 families out of poverty in a financially sustainable model. So far we have placed around 150+ students in various companies including but not limited to Mindtree, Thoughtworks, Unacademy, etc.
You can be a part of this movement through the CIF Fellowship.
To know more about CIF visit us at codeindiafellowship.org and to apply you can fill the form at bit.ly/cifapply.
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Experience: 2-4 years
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OPNING: 2
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organizations through the latest technologies.We are aproduct aswell asservice-basedindustry.We
have pioneeredin handling projects from the UK related to the healthcare industry in the UK. We follow
a novel tech-led approach and expand our expertise all over the UK and the Middle East.
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experience )
● Strong proficiency in JavaScript, including DOM manipulation and theJavaScriptobject
model.
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