QA Engineer

About Leena AI Leena AI is a leader in Agentic AI for the enterprise. We are building an iconic company, delivering AI Colleagues that transform back-office functions and accelerate the full promise of Generative AI - unlocking real productivity gains, cutting costs, and delighting employees at scale. Leena AI provides the most forward-looking, open, and scalable Agentic AI architecture for the enterprise - it empowers CIOs and CTOs to develop, deploy, and manage AI Colleagues for the back office at scale. Built with full governance, compliance, security, and auditability at its core. Leena AI integrates with 1000+ applications, including SAP, Salesforce, ServiceNow, Workday, and Microsoft Office 365. We are proud to be trusted by 500+ global enterprises and 20 million+ employees, including leading brands such as Nestlé, Puma, Coca-Cola, Sony, and Etihad Airways. Founded in 2018 and headquartered in New York, Leena AI has secured over $40M in financing from top-tier investors including Greycroft, Bessemer Venture Partners, B Capital, and Y Combinator. Role Overview We are looking for a QA Engineer with 5+ years of experience who is good at automation, manual, and API testing, and is comfortable talking to clients directly. You'll be testing HR system integrations and AI-powered chat and voice assistants for enterprise customers — so solid QA basics plus some comfort with AI products will help a lot. This is a full-time, in-office role based in Gurgaon (5 days a week). Must-Have Skills Automation Testing At least 2 years of hands-on automation testing experience. Playwright is a strong preference (Selenium or similar tools also considered, but you should be ready to work on Playwright) Good coding in JavaScript, TypeScript, or Java Can run tests through CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or similar) Comfortable with Git — branches, pull requests, code reviews Can look at a failed test and tell whether the app is broken or the script is broken Manual & API Testing Can read a requirement and plan out how to test it, without being told every step Writes clear, well-organised test cases — happy path, negative cases, boundary and edge cases When requirements are unclear, asks the right questions and points out what's missing Hands-on with REST APIs — checking requests and responses, status codes, headers, authentication, JSON Can think of useful API test scenarios, not just fire requests and see what comes back Client Handling & Communication Has worked directly with clients or external stakeholders before Clear and confident in both writing and speaking Can explain an issue to a developer and also to a non-technical client, in the right language for each Problem Solving Digs into why something failed, not just that it failed Shift Flexibility Willing to work in shifts to overlap with client time zones, as per project needs Good to Have AI / Chatbot Testing Has tested chatbots, voice bots, or AI-based features before Understands that AI answers change every time, so a plain "expected vs actual" match won't work — and has some idea of how to test that Testing full conversations, not single messages — does the bot remember context, handle a topic change, fall back properly, hand over to a human when needed For bots that answer from documents — can tell if the bot picked the wrong document, or picked the right one and still gave a wrong answer Basic awareness of AI risks — prompt injection, data leaks, PII handling Has used or is willing to learn LLM testing tools (DeepEval, Ragas, Promptfoo, Giskard) Can read basic Python (most of these tools are Python-based) TestNG / JUnit Jira or any similar bug tracking tool Using AI assistants like Claude or ChatGPT to work faster on testing and automation