AI QA Engineer

Job highlights

• Familiarity with API testing and microservices architect.
• The Requirements.
• Experience with CI / CD pipelines (Azure DevOps preferred).
• QA with solid Experience in Agentic AI. .
• The ideal candidate combines strong software engineering expertise with hands-on experience in Generative AI,AI agents,test automation frameworks,and performance testing tools

;We are urgently hiring ;QA with solid Experience in Agentic AI.

;Location : Pan India

;Exp: 6+yrs

;The ideal candidate combines strong software engineering expertise with hands-on experience in Generative AI, AI agents, test automation frameworks, and performance testing tools. The candidate will collaborate closely with QA, Development, DevOps, and Product teams to enable faster and more reliable software delivery through intelligent quality engineering solutions. Key responsibilities of this role include: Successfully implementing AI-powered test automation frameworks that significantly increase automation coverage and reduce manual testing effort Enabling automatic generation of high-quality test cases from requirements, leading to faster test design and improved requirement traceability Delivering self-healing test suites that reduce maintenance overhead and improve execution stability across releases Building and deploying AI agents that automate critical QA processes such as defect triage, root cause analysis, and test optimization Establishing multi-agent workflows that streamline end-to-end quality engineering activities with minimal manual intervention Implementing AI-led performance engineering, including intelligent workload modelling, anomaly detection, and predictive performance insights Reducing performance bottlenecks and proactively identifying capacity and scalability risks before release Providing data-driven quality insights through predictive models, enabling teams to make confident release decisions Identifying high-risk areas early using historical data and improving overall product quality outcomes Seamlessly integrating AI solutions into CI/CD pipelines, enabling automated quality gates and continuous validation Ensuring AI systems are scalable, reliable, cost-efficient, and governed with proper monitoring and controls

;The Requirements

;Critical

;Strong experience in software engineering and quality assurance practices

;Hands-on experience with Generative AI and LLM-based solutions

;Experience building or working with AI agents / agentic workflows

;Proficiency in programming languages such as Python, JavaScript, or Java

;Experience with test automation frameworks (Playwright, Selenium, Cypress, etc)

;Knowledge of performance testing tools (JMeter, k6, LoadRunner, etc)

;Experience with CI/CD pipelines (Azure DevOps preferred)

;Familiarity with API testing and microservices architect

;Role-Specific Tools Technologies AI / Generative AI: Azure OpenAI, OpenAI (GPT), LangChain, LlamaIndex, Semantic Kernel Agentic AI Frameworks: AutoGen, CrewAI Test Automation: Playwright, Cypress, Selenium, pytest, Jest API Testing: Postman, REST Assured, Newman Performance Testing: JMeter, k6, Gatling, Locust CI/CD DevOps: Azure DevOps, GitHub Actions, Jenkins Cloud Platforms: Microsoft Azure, AWS MLOps: Azure ML, MLflow, Weights Biases Collaboration Code Quality: Azure Boards, Jira, Git, SonarQube

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.