Senior QA Engineer - Implementation

Overview

Senior QA Engineer - Implementation role at Leena AI, testing HR system integrations and AI-powered chat and voice assistants for enterprise customers.

What you'll do

• Test HR system integrations and AI-powered chat and voice assistants for enterprise customers.
• Read requirements and plan how to test them without being told every step.
• Write clear, well-organised test cases covering happy path, negative cases, boundary and edge cases.
• Ask the right questions and point out what is missing when requirements are unclear.
• Run tests through CI/CD pipelines.
• Work directly with clients and external stakeholders.
• Work in shifts to overlap with client time zones, as per project needs.

What you'll need

• 5+ years of experience as a QA Engineer.
• At least 2 years of hands-on automation testing experience.
• Good coding in JavaScript, TypeScript, or Java.
• Ability to run tests through CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or similar).
• Comfortable with Git: branches, pull requests, code reviews.
• Ability to tell whether the app is broken or the script is broken when a test fails.
• Hands-on with REST APIs: checking requests and responses, status codes, headers, authentication, JSON.
• Ability to think of useful API test scenarios, not just fire requests.
• Experience working directly with clients or external stakeholders.
• Clear and confident in both writing and speaking.
• Ability to explain an issue to a developer and to a non-technical client, in the right language for each.
• Digs into why something failed, not just that it failed.

Nice to have

• Playwright experience (Selenium or similar tools also considered, but readiness to work on Playwright expected).
• Experience testing chatbots, voice bots, or AI-based features.
• Understanding that AI answers change every time, and some idea of how to test non-deterministic outputs.
• Testing full conversations: context memory, topic changes, fallback, and human handover.
• Testing document-grounded bots: identifying wrong document selection or wrong answers from the right document.
• Basic awareness of AI risks: prompt injection, data leaks, PII handling.
• Experience with or willingness to learn LLM testing tools (DeepEval, Ragas, Promptfoo, Giskard).
• Ability to read basic Python.
• TestNG / JUnit.
• Jira or similar bug tracking tools.
• Using AI assistants like Claude or ChatGPT to work faster on testing and automation.

Details

• Full-time, in-office role based in Gurgaon, 5 days a week.
• Shift work to overlap with client time zones, as per project needs.