Senior /Lead QA Automation Engineer (AI)

 Posted a month ago
  
 India
  
5-10 years experience
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AI Summary

Coordinate QA activities across the Neio AI product suite, including planning, work allocation, and status reporting. Drive automation framework improvements and guide junior QA resources on test coverage and standards.

Job Description: Senior QA Automation Engineer

Project: Neio Project – AI Product Suite

Experience: 6-8 years 


Senior QA Responsibilities

  • Coordinate QA activities across all Neio Project products.
  • Own QA planning, work allocation, test execution tracking, and status reporting.
  • Guide the 3–5 years QA resources on test coverage, automation standards, and defect quality.
  • Review test cases, automation scripts, API test coverage, and execution results.
  • Act as the primary QA point of contact for product, development, and business teams.
  • Ensure timely QA sign-off inputs for releases.
  • Drive automation framework improvements and QA process consistency.
  • Track QA metrics such as test execution progress, defect status, automation coverage, and regression results.
  • Identify testing risks early and escalate blockers to stakeholders.


Good to Have Skills

  • Experience testing AI/ML-based applications, chatbots, RAG platforms, LLM-based tools, or document processing systems.
  • Knowledge of chatbot testing, prompt validation, AI response quality checks, hallucination checks, and fallback response validation.
  • Experience with OCR, document extraction, document synthesis, summarization, or NLP-based products.
  • Experience with database validation using SQL.
  • Exposure to performance testing tools such as JMeter or k6.
  • Knowledge of cloud platforms such as AWS, Azure, or GCP.
  • Experience with accessibility, security, or compliance testing.


Preferred Tools and Technologies

Area

Tools / Technologies

UI Automation

Selenium, Playwright

API Manual Testing

Postman

API Automation

Rest Assured

Programming

Java, JavaScript, TypeScript, Python

Test Management

Jira, Azure DevOps, TestRail

CI/CD

Jenkins, GitHub Actions, GitLab CI, Azure DevOps

Version Control

Git

Build Tools

Maven, Gradle, npm

Database

SQL

Reporting

Allure, Extent Reports, HTML Reports



Candidate Profile

The ideal candidate should be a hands-on QA automation professional with strong experience in both UI and API testing. The candidate should be able to understand business requirements, create effective test scenarios, perform functional testing, and automate stable regression flows using Selenium or Playwright.

The candidate should have practical experience in API validation using Postman and API automation using Rest Assured with a framework-based approach. They should be comfortable working in an Agile environment, collaborating with developers, product owners, business stakeholders, and AI teams.

Since the Neio Project includes AI-driven products such as Neio AI Chat Bot, RAG Platform, document extraction, document synthesis, and generated letter workflows, the candidate should be open to validating AI outputs for accuracy, consistency, relevance, and business correctness.

For the senior QA profile, the candidate should additionally have the ability to coordinate work across multiple products, guide junior and mid-level QA resources, review QA deliverables, track progress, and represent QA status to stakeholders.


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