AI QA Lead Engineer

Qentelli LLC; Hyderabad; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Qentelli LLC is seeking an innovative AI Engineer to lead Generative AI adoption across Quality Engineering. You will partner with Manual QA, Automation Engineering, and Product teams to embed AI into test automation and build intelligent agents that streamline software testing.

The role focuses on automated test case generation, self-healing automation, AI-driven defect analysis, and integrations with JIRA, CI/CD, and test management tools, advancing QA processes through autonomous testing.

Qualifications

• Experience integrating AI into automation frameworks, including self-healing automation and AI-driven test optimization.
• Hands-on mobile application testing experience on Android/iOS with Appium.
• 4+ years of Python development with APIs, asynchronous programming, and concurrency.
• Experience with LangChain, LangGraph, LangSmith and LLM APIs (OpenAI, Claude, Gemini).
• Strong expertise in Prompt Engineering, RAG, vector databases, embeddings, and AI agent development.
• Experience integrating AI agents with REST APIs, databases, and SDKs.
• Knowledge of Git, CI/CD, Docker, and cloud platforms (AWS/Azure/GCP).
• Knowledge of multi-agent architectures, AI evaluation frameworks, and LLM testing.
• Strong understanding of Payments domain, including payment gateways, transaction lifecycle, settlements, and reconciliation.
• Knowledge of Selenium automation, API testing, and software testing concepts.

Skills

AI in automation

Self-healing automation

Mobile testing

Python development

LLM APIs

Prompt engineering

RAG

Vector databases

Embeddings

AI agent development

REST APIs

Git CI/CD

Docker

Cloud platforms

Multi-agent architectures

Payments domain knowledge

Selenium automation

API testing

Tools

Appium

Selenium

REST APIs

Git

CI/CD

Docker

AWS

Azure

GCP

LangChain

LangGraph

LangSmith

Job description

About the Role

We are seeking an innovative AI Engineer to drive the adoption of Generative AI and Agentic AI across our Quality Engineering. This role will partner with Manual QA, Automation Engineering, and Product teams to integrate AI capabilities into existing test automation frameworks and build intelligent AI agents that streamline software testing activities.

The ideal candidate will design and develop AI-powered solutions for automated test case generation, test data creation, script generation, intelligent defect analysis, self-healing automation, and seamless integration with enterprise tools such as JIRA, test management platforms, and CI/CD pipelines. The role will play a key part in modernizing QA processes through autonomous and AI-assisted testing capabilities.

Key Responsibilities

AI-Enabled Test Automation

• Partner with Manual QA and Automation Engineering teams to integrate Generative AI and Agentic AI capabilities into existing test automation frameworks.
• Design, develop, and maintain AI agents to automate test case generation, test data preparation, test script creation, and regression test optimization.
• Build AI-powered solutions for self-healing automation, intelligent failure analysis, root cause identification, and automated script maintenance.
• Integrate Large Language Models (LLMs) with automation frameworks to enable natural language-driven test generation and execution.
• Develop AI-driven integrations with enterprise tools such as JIRA, test management platforms, and CI/CD pipelines for automated defect creation, test result publishing, and reporting.
• Create reusable AI services, prompts, and workflows to improve QA productivity, reduce manual effort, and standardize AI adoption across projects.
• Collaborate with Product, Development, DevOps, and QA teams to identify opportunities for applying AI throughout the Software Development and Testing Lifecycle.
• Implement Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering techniques to leverage enterprise knowledge for intelligent QA assistance.
• Monitor, evaluate, and continuously improve AI models and agent performance using quality metrics, automation KPIs, and user feedback.
• Establish best practices, governance, and security standards for responsible and scalable AI adoption within the Quality Engineering organization.

Required Qualifications

• Experience integrating AI capabilities into automation frameworks, including self-healing automation, intelligent test generation, and AI-driven test optimization to improve productivity, resilience, and test coverage.
• Hands-on experience in mobile application testing, including Android and iOS platforms, with expertise in automation frameworks such as Appium. Strong understanding of mobile test strategies, device compatibility testing, mobile APIs, and integration of AI capabilities into mobile automation to improve test coverage and efficiency.
• 4+ years of experience in Python development with strong knowledge of APIs, asynchronous programming, and concurrency.
• Hands-on experience with LangChain, LangGraph, LangSmith, and LLM APIs (OpenAI, Claude, Gemini, etc.).
• Strong expertise in Prompt Engineering, RAG, vector databases, embeddings, and AI agent development.
• Experience integrating AI agents with enterprise applications through REST APIs, databases, and SDKs.
• Good understanding of Git, CI/CD, Docker, cloud platforms (AWS/Azure/GCP), and software engineering best practices.
• Knowledge of multi-agent architectures, AI evaluation frameworks, and LLM application testing.
• Strong understanding of Payments domain, including payment gateways, transaction lifecycle, settlements, and reconciliation.
• Good experience in Selenium automation, API testing, and software testing concepts.