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 energetic 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

- Market-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 interesting 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 [email protected]

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.*

Pay: ₹380,862.04 - ₹700,000.00 per year

Work Location: Hybrid remote in Salem, Tamil Nadu (Salem)

📌 Full-Stack Developer — AI-Powered QA Automation Platform (India)
🏢 Radixlink
📍 India