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Job Closed

Software Test Engineer (AI-Enabled QA)

  • Source: Indeed
  • The Flora
  • On-site
  • State of Karnataka, India
  • Full-Time
  • Mid level

Job Description

Role Overview

We are hiring a Software Test Engineer (2–3 Years Experience) who combines strong software testing fundamentals with practical experience using AI-powered tools.

You will be responsible for validating enterprise applications across Supply Chain, Logistics, Warehouse, Transportation, and AI-powered business workflows. You should be comfortable testing complex business processes, REST APIs, integrations, mobile applications, and cloud-native platforms while leveraging Generative AI to improve testing productivity.

Key Responsibilities

  • Analyze business requirements and prepare comprehensive test plans, test scenarios, and test cases.
  • Perform Functional, Regression, Smoke, Sanity, Integration, System, UAT, and End-to-End testing.
  • Test AI-powered logistics workflows including shipment lifecycle, dispatch, routing, fleet operations, delivery execution, and Proof of Delivery (POD).
  • Validate Supply Chain workflows including Procurement, Manufacturing, Inventory, Warehouse Management (WMS), Order Management (OMS), Transportation Management (TMS), and Returns Management.
  • Test REST APIs, Webhooks, and third-party integrations.
  • Perform SQL-based backend validation.
  • Execute exploratory, risk-based, and integration testing.
  • Validate mobile applications used by delivery executives, warehouse operators, and logistics personnel.
  • Verify dashboards, reports, KPIs, and operational analytics.
  • Report and track defects using Azure DevOps or Jira.
  • Collaborate closely with Product Managers, Developers, Business Analysts, and UI/UX teams.
  • Participate in Agile ceremonies and sprint testing.
  • Use AI tools to improve test design, execution, bug analysis, and documentation.

Required Testing Skills

Strong understanding of:

  • Functional Testing
  • Regression Testing
  • Smoke Testing
  • Sanity Testing
  • Integration Testing
  • System Testing
  • End-to-End Testing
  • User Acceptance Testing (UAT)
  • Exploratory Testing
  • API Testing
  • Database Testing
  • Mobile Application Testing
  • Cross-Browser Testing
  • Responsive UI Testing
  • Compatibility Testing
  • Performance Testing (Basics)
  • Security Testing (Basics)
  • Accessibility Testing (Basics)
  • Risk-Based Testing

Technical Skills

  • REST APIs
  • Postman
  • Postgres SQL
  • JSON
  • Git
  • Azure DevOps / Jira
  • Chrome DevTools
  • Basic Linux Commands

Good to Have

  • Playwright
  • Selenium
  • Cypress
  • JMeter
  • BrowserStack
  • Docker
  • JavaScript or Python

Applied AI Skills (Mandatory)

Candidates must demonstrate practical usage of AI in software testing.

Experience using tools such as:

  • ChatGPT
  • GitHub Copilot
  • Claude
  • Gemini
  • Cursor AI
  • Windsurf
  • Microsoft Copilot
  • Perplexity

Candidates should know how to use AI for:

  • Test Case Generation
  • Requirement Analysis
  • Edge Case Discovery
  • API Test Creation
  • SQL Query Generation
  • Test Data Generation
  • Automation Script Generation
  • Bug Analysis
  • Root Cause Analysis
  • Prompt Engineering
  • Risk-Based Testing
  • Test Documentation

Candidates should understand AI limitations and validate AI-generated outputs before using them.

Preferred Domain Experience

Experience in one or more of the following domains:

  • Logistics Management
  • Transportation Management (TMS)
  • Fleet Management
  • Last-Mile Delivery
  • Shipment Tracking
  • Warehouse Management (WMS)
  • Supply Chain Management
  • Order Management (OMS)
  • Inventory Management
  • Manufacturing
  • Procurement
  • Reverse Logistics
  • ERP
  • SaaS Platforms

Nice to Have

  • Playwright Automation
  • Selenium Automation
  • API Automation
  • CI/CD Testing
  • Azure DevOps
  • AI Agent Testing
  • LLM Evaluation
  • Prompt Engineering
  • RAG Testing
  • MCP/API Integration Testing
  • Performance Testing
  • Mobile App Testing

What You’ll Work On

As part of TechVibrant, you will contribute to the quality of enterprise AI platforms including:

ezSCM.ai

  • Procurement
  • Manufacturing
  • Warehouse Management System (WMS)
  • Order Management System (OMS)
  • Inventory Management
  • Fulfillment
  • Transportation Management
  • Returns Management
  • Marketplace Integrations

Logibx

  • Shipment Management
  • Transportation Planning
  • Fleet Management
  • Route Optimization
  • Dispatch Management
  • Driver Mobile Applications
  • Last-Mile Delivery
  • Carrier Management
  • Shipment Tracking
  • Proof of Pickup (POP)
  • Proof of Delivery (POD)
  • Logistics Analytics
  • Real-time Tracking
  • Customer Notifications
  • Enterprise Logistics Workflows

**Interview Evaluation Criteria…

Skills

  • sanity_2
  • microsoft-azure
  • azure-devops
  • JIRA
  • postman
  • PostgreSQL
  • JSON
  • chrome-devtools
  • Playwright
  • selenium
  • Cypress
  • browserstack
  • Docker
  • javascript
  • Python
  • chatgpt
  • Github
  • gitHub-copilot
  • Gemini
  • Cursor
  • perplexity
  • root-cause
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