Full Description

Role: QA Automation Engineer

Function: Quality Assurance

Location: Bangalore or Mumbai

Type: Full-time

Industry: Artificial Intelligence, Technology

About Company The company is building the AI layer for Bharat at India-scale. Backed by partnerships with global tech leaders like Meta and Google, the team is creating AI that serves the entire Indian user base—across languages, contexts, and daily needs. This is AI designed for real adoption, not experiments.

They bring a rare combination of deep India-first AI capability and unmatched India-scale distribution. The focus is a platform-and-product stack that makes AI useful, reliable, and safe for everyday consumers. It’s engineered from day one for massive scale—100M+ users early and 1B-ready constraints on latency, cost, reliability, and safety.

If you want to be part of a fast-moving, high-ambition team building technology with real-world reach, this is that opportunity. The culture emphasises engineering excellence, strong collaboration, and tangible impact across sectors that matter to India—while building toward a category-defining consumer AI experience.

Position Overview You'll lead quality assurance for large-scale AI systems and machine learning platforms serving millions of users across India. You'll design comprehensive testing strategies for distributed AI applications that power real-time language processing and enterprise solutions. This role offers direct mentorship opportunities and collaboration with global tech leaders on projects that transform entire industries.

Role & Responsibilities Lead design and implementation of automated testing frameworks for large-scale distributed AI platforms Develop comprehensive test suites using PyTest for ML model validation and performance testing Build end-to-end automation pipelines using Playwright for AI application user interface testing Design and execute comprehensive testing strategies for LLM applications and conversational AI systems Mentor junior QA engineers and establish testing best practices across AI development teams Design and implement AI-based validation systems for continuous model quality monitoring Collaborate with ML engineers to define testing strategies for complex distributed system behaviors

Must Have Criteria 5-9 years of QA automation experience with large-scale distributed platforms serving 100M+ users Mandatory experience in ML testing and validation of machine learning systems Strong proficiency in Python for test automation and ML model validation Hands-on experience testing LLM applications and large language model systems Experience with PyTest framework for comprehensive test automation Hands-on experience with Playwright for end-to-end testing automation