Overview
Lead Quality Engineering and IT assurance testing across traditional software and AI-powered applications. Drive scalable automation, AI/LLM evaluation, testing strategy, and quality outcomes while managing QA teams.
What you'll do
- Drive a Quality Engineering mindset across software and AI-powered applications.
- Define testing strategies for web/UI, API, database, AI/LLM, RAG, and AI-powered applications.
- Build and maintain scalable automation frameworks.
- Lead manual, automation, and AI/LLM testing activities.
- Manage, mentor, and develop QA and Quality Engineering teams.
- Evaluate emerging technologies and introduce effective testing solutions.
- Integrate test automation with GitHub and CI/CD pipelines.
What you'll need
- 7+ years of experience in software testing or Quality Engineering.
- Experience managing end-to-end project delivery and leading QA teams.
- Strong knowledge of STLC, SDLC, Agile, test strategy, risk management, defect management, and quality metrics.
- Strong automation experience with Python, JavaScript/TypeScript, Java, Playwright, Selenium, and WebdriverIO.
- Knowledge of UI, API, SQL/database, and data validation testing.
- Experience with AI/LLM testing, RAG, and AI-powered applications.
- Strong communication, stakeholder management, analytical, problem-solving, and people leadership skills.
Nice to have
- Experience with PromptFoo, Ragas, DeepEval, LangSmith, PyRIT, or similar tools.
- Knowledge of embeddings, vector databases, semantic search, retrieval, and reranking.
- Experience with generative AI, prompt engineering, AI agents, and AI safety testing.
- Knowledge of AI security risks including prompt injection, jailbreaks, hallucination, data leakage, and guardrails.
- Experience with GitHub Actions and CI/CD pipeline integration.
Details
- Hybrid role requiring at least three days per week in the office.
- Locations stated in the description include Gurugram, Noida, and Pune.
Read the full description and apply on the company’s own careers page.