Freelance AI QA Automation EngineerCompany: Mirzaan Labs

Job Type: Freelance / Contract

Work Mode: Remote

Experience: 3+ years in QA Automation, with practical experience in AI/LLM integration preferred

About Mirzaan LabsMirzaan Labs is focused on transforming Quality Engineering through AI-powered test automation, intelligent test generation, autonomous testing workflows, and smarter failure analysis.

We are looking for a skilled Freelance AI QA Automation Engineer to help develop, enhance, and maintain AI-driven QA automation solutions.

Key Responsibilities

- Design and develop AI-powered QA automation workflows.
- Build AI agents that convert requirements, user stories, and acceptance criteria into BDD scenarios and automated test scripts.
- Develop and maintain UI automation using Playwright with TypeScript or Python.
- Integrate LLMs such as OpenAI models into QA automation pipelines.
- Implement intelligent locator strategies, test failure analysis, root-cause classification, and self-healing capabilities.
- Integrate automated testing with Jira, GitHub, Azure DevOps, and CI/CD pipelines.
- Develop reusable automation frameworks, APIs, and utilities using Python, FastAPI, or Node.js.
- Implement structured outputs, validation, error handling, logging, and retry mechanisms for AI-generated tests.
- Write unit tests, integration tests, and end-to-end tests for the developed components.
- Document technical solutions and provide regular progress updates.

Required Skills
- Solid hands-on experience in QA Automation and software testing.
- Practical experience with Playwright and TypeScript or Python.
- Experience integrating LLM APIs into real-world applications.
- Good Python programming skills and understanding of REST APIs.
- Experience with Git, GitHub, branching, pull requests,



and code reviews.
- Understanding of BDD, Gherkin, test design, and automation framework architecture.
- Familiarity with CI/CD pipelines and automated test execution.
- Ability to debug complex failures and deliver production-quality code.

Good to Have
- Experience building multi-agent AI systems or agentic workflows.
- Familiarity with LangChain, LangGraph, Pydantic, or similar frameworks.
- Experience with Jira REST APIs and Azure DevOps.
- Knowledge of DOM analysis, semantic locators, and AI-assisted self-healing.
- Experience with Docker, FastAPI, and automated deployment workflows.
- Experience developing AI-powered QA products or SaaS platforms.

Expected Deliverables
- Working AI-powered test generation and automation components.
- Integration with existing QA automation workflows.
- Reliable test execution, reporting, and failure analysis.
- Clean, modular, maintainable code with appropriate tests.
- Documentation, setup instructions, and a demonstration of completed work.
- Source code and related assets delivered through the agreed repository.

Candidate ScreeningPlease include the following in your application:
1. A brief summary of your QA Automation and AI engineering experience.
2. Links to relevant GitHub repositories, demos, or projects you are authorized to share.
3. Examples of integrating LLMs into testing or software automation.
4. Your preferred technology stack and availability.
5. Your expected hourly rate or fixed-price project estimate.

Shortlisted candidates may be asked to complete a small, time-boxed technical assessment involving AI-generated test scenarios, Playwright automation, and failure handling. Important: We are looking for someone who can build and debug working solutions, not just demonstrate AI tools or prompt-writing skills.

📌 Freelance Automation Engineer (India)
🏢 Mirzaan Labs
📍 India