Salary
≈ $20k – $49k per year (Estimated)
Location
In office (Noida)
Seniority
Senior
Employment
Contractor
Overview
Company
Impact
Profile match
Legitt is an assistive contract management platform that leverages AI and blockchain to collaborate, create, manage, and track the status of agreements, contracts, and other legally binding documents from scratch.
As a QA Engineer at Legitt AI, you will not just "find bugs"; you will own the release safety and technical quality of our AI contract ecosystem. You will design automated test frameworks, validate complex data flows between Legitt AI and 3rd-party platforms (Salesforce, MS Office, and OAuth 2.0 endpoints), test LLM-driven contract extraction features, and ensure high performance under load.
The core responsibilities for the job include the following:
Test Strategy and Execution:
- Design, build, and maintain scalable manual and automated test suites for web applications, APIs, and add-ins (e. g., React JS frontend, Node.js backend, MS Word add-ins).
- Perform functional, regression, edge-case, and end-to-end integration testing across environments.
- Test multi-step funnel workflows, dynamic form submissions, document generation, and digital signature mechanics.
AI and Data Validation:
- Evaluate and benchmark AI/LLM output quality, verifying accuracy, context retention, and edge cases in contract analysis, clause extraction, and automated drafting.
- Perform test validation on unstructured document parsing (PDFs, DOCX) and multi-tenant data privacy.
Integration and API Testing:
- Validate REST APIs, webhooks, and OAuth 2.0 authentication flows for third-party integrations (e. g., Salesforce AppExchange packages, CRM syncs, document viewers).
- Verify bidirectional data sync and error-handling routines under poor network or rate-limited conditions.
Automation and Tooling:
- Build robust end-to-end (E2E) automation scripts using frameworks like Playwright, Cypress, or Selenium.
- Integrate automated test runs directly into CI/CD pipelines (GitHub Actions, Jenkins, or similar) for continuous testing on pre-release builds.
- Utilize API testing tools (Postman, Bruno, JMeter) to validate endpoints, payload schemas, and performance limits.
Bug Lifecycle and Release Safety:
- Identify, document, and track software defects with clear reproduction steps, logs, and impact assessments in Jira/ClickUp.
- Partner directly with full-stack engineers and product owners to reproduce production anomalies and refine technical requirements.
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