Full-Stack Developer — AI-Powered QA Automation Platform Location: Remote / Hybrid / office Type: Full-Time | Contract Experience: 3–6 Years About the Role We are building an AI-powered test automation platform that enables engineering and QA teams to generate, execute, and self-heal end-to-end browser test suites — without writing a single line of test code manually. The platform uses large language models to analyse web applications, understand their structure and user flows, and produce high-quality automated tests that run in the cloud. We are looking for a Full-Stack Developer with a genuine interest in QA automation, developer tooling, and applied AI. You will contribute across the full product — backend APIs, AI integration, browser automation, and the frontend dashboard. What You'll Work On Backend Engineering - Design and maintain REST APIs that orchestrate long-running AI and browser automation jobs. - Build async job pipelines for test generation, execution, and self-healing workflows. - Integrate with LLM APIs (Anthropic Claude / OpenAI) to drive test generation and error analysis. - Manage source ingestion from GitHub repositories and ZIP archives for code analysis. - Work with async Python, relational databases, and background task workers. QA Automation & Browser Testing - Develop and improve the Playwright-based test execution engine (headless and headed modes). - Build the self-healing system that analyses test failures and automatically patches broken tests. - Work with test result reporting, video capture, screenshots, and trace artifacts. - Handle complex browser scenarios: SPA routing, authentication flows, dynamic content, file uploads, and autocomplete widgets. AI / Prompt Engineering - Design and iterate on LLM prompts that produce reliable, production-quality Playwright TypeScript test code. - Build context assembly pipelines that feed source code analysis and live DOM scan evidence to the model. - Evaluate and improve output quality — reducing selector hallucinations, improving test coverage breadth, and handling edge cases in generated code. Frontend Development - Build and maintain a React/TypeScript dashboard for managing projects, reviewing AI-generated tests, and viewing execution reports.



- Create rich reporting UIs: test result breakdowns, embedded video playback, diff views, and real-time job status feeds. - Implement a spec review and approval workflow before tests are committed and executed. DevOps & Infrastructure - Deploy and maintain the application on cloud infrastructure (Azure / AWS / GCP). - Manage web server configuration, process management, and environment setup. - Contribute to CI/CD pipelines and GitHub integrations for committing generated test suites. Tech Stack | Layer | Technology | ||| | Backend | Python 3.11, FastAPI, SQLAlchemy (async), Pydantic, Uvicorn | | AI | Anthropic Claude API / OpenAI — prompt engineering, structured output | | Test Automation | Playwright, TypeScript, `@playwright/test` | | Frontend | React 18, TypeScript, Vite | | Database | PostgreSQL / SQLite | | Infrastructure | Azure / Linux, Nginx, systemd, GitHub Actions | Required Skills - Python — 3 years of professional backend development; async Python and REST API design. - TypeScript / JavaScript — comfortable reading and writing Playwright test code and modern React components. - Browser Automation — hands-on experience with Playwright, Cypress, or Selenium; knows how to debug flaky tests, handle dynamic content, and manage authentication states. - React — experience building production SPAs with hooks, state management, and async data fetching. - AI / LLM APIs — experience integrating with OpenAI, Anthropic, or similar; understands token limits, prompt structure, and parsing model output. - REST API Design — clean, well-structured endpoints; understands async job patterns and polling. - Git & GitHub — branching workflows, GitHub API usage, and CI/CD integration. - Linux Fundamentals — comfortable on the command line; able to configure services, read logs, and debug server issues.



Nice to Have - Prior experience building developer tools, test infrastructure, or observability platforms. - Understanding of how modern React/Vue/Angular SPAs behave at runtime — hydration, client-side routing, lazy loading. - Experience with static analysis or AST parsing of frontend source code. - Familiarity with GitHub Actions workflows. - Cloud deployment experience (Azure, AWS, or GCP). - Background in QA engineering — test planning, coverage strategy, or SDET experience. Responsibilities - Take ownership of features from design through to deployment. - Iterate on AI prompt quality and benchmark generated test output. - Triage test execution failures and improve the automated healing system. - Collaborate in a small, fast-moving team with direct access to product decisions. - Write maintainable, well-documented code with appropriate test coverage. - Participate in code reviews and contribute to engineering standards. How We Work - Small team, high ownership — you shape what gets built, not just what gets assigned. - Ship fast and iterate — we value working software over lengthy planning cycles. - AI-first engineering culture — we use AI tooling throughout our own development workflow. - Async-friendly and remote — no unnecessary meetings or rigid hours. What We Offer - Competitive salary or contract rate based on experience and location. - Fully remote with flexible working hours. - Direct involvement in product and technical direction. - A technically engaging problem space at the intersection of AI, testing, and developer tooling. - Clear path to a senior or lead engineering role as the team grows. How to Apply Please send the following to ( ): 1. A link to your GitHub profile or relevant portfolio. 2. A brief description (3–5 sentences) of a browser automation or testing project you have built or significantly contributed to. 3. Your availability and expected rate or salary. Shortlisted candidates will be invited to a 45-minute technical conversation — no take-home assignments. *We are an equal opportunity employer. We welcome applications from candidates of all backgrounds and experience levels.*

📌 Full-Stack Developer — AI-Powered QA Automation (Tamil Nadu)
🏢 Radixlink
📍 Tamil Nadu