Careers

Job Title: Full Stack Developer (2–4 years)

Location: Delhi (Hybrid)

About Us:
We are building the next generation of intelligent developer tools designed to supercharge software development using AI. If you’re passionate about clean code, fast iteration, and the future of coding itself, join us in shaping how modern developers work.

Role Overview:
We are seeking a talented and enthusiastic Full Stack Developer with 2–4 years of hands-on experience in building scalable applications using modern frontend and backend technologies. Prior exposure to AI-powered development environments, such as GitHub Copilot, Cursor, Tabnine, CodeWhisperer, or similar tools, is highly desirable.

Responsibilities:

• Build, enhance, and maintain web applications across the full stack (frontend to backend).
• Collaborate with designers, product managers, and AI engineers to build intuitive, performant user experiences.
• Contribute to architectural discussions and technical decisions.
• Write clean, modular, and testable code.
• Stay current with new technologies and advocate for continuous improvement.

Key Requirements:

• 2–4 years of experience as a Full Stack Developer.
• Strong proficiency in JavaScript/TypeScript, React (or similar), and Node.js/Python/PHP.
• Experience with databases like PostgreSQL,MYSQL, MongoDB, Firebase.
• Exposure to AI-enhanced IDEs or developer tools (e.g., Cursor, GitHub Copilot, Tabnine, WindSurf etc.).
• Understanding of RESTful APIs and modern CI/CD practices.
• Experience with cloud platforms (AWS or Azure).
• Familiarity with containers (Docker).
• Problem Solving skills and strong team player.

Nice to have:

• Exposure to LLM-driven application or retrieval-augmented generation (RAG).
• Familiarity with Test Driven Development frameworks.
• Familiarity with Git workflows and modern DevOps tooling.

Job Title: Automation QA Engineer
Location: Hybrid [Delhi]

About Us:
We are building high-quality, scalable, and intelligent platforms, and quality is central to
everything we do. We are looking for an Automation QA Engineer who doesn't just test
software, but helps build it better—with a mindset to break things early, code automation
robustly, and ensure exceptional performance and reliability.

Role Overview:
As an Automation QA Engineer, you will play a critical role in developing and maintaining
automated test suites, creating test strategies, and ensuring quality across the development
lifecycle. This role demands good programming skills and a solid understanding of software
testing principles.

Responsibilities:
● Design, develop, and maintain automated test frameworks and scripts (UI, API, integration, regression).
● Collaborate with developers, product managers, and DevOps to ensure test coverage and quality standards.
● Identify, record, and thoroughly document bugs.
● Work in Agile teams and actively participate in sprint planning, reviews, and daily standups.
● Develop and manage test plans, test cases, and test data.
● Contribute to CI/CD pipelines by integrating automated tests.
● Analyze test results, track quality metrics, and continuously improve QA practices.

Key Requirements:
● 2–4 years of experience in QA automation with good programming skills in Python, Java, JavaScript or any other programming language.
● Practical experience writing and maintaining automated test scripts for UI and API testing using tools like Selenium, Playwright, Cypress, or Postman/Postbot.
● Basic exposure to or curiosity about AI-based testing tools and using AI tools like ChatGPT to assist in test case generation or exploratory testing.
● Understanding of test automation frameworks and ability to contribute to or extend existing ones.
● Familiarity with bug tracking and test management tools (e.g., Jira, TestRail, Zephyr).
● Ability to write clear, concise test cases and document results effectively.
● Willingness to learn and experiment with AI tools and frameworks that can optimize testing efforts over time.

Preferred Skills:
● Experience in testing cloud-native applications (AWS/Azure/GCP).
● Exposure to AI-assisted testing tools or exploratory testing techniques.
● Knowledge of performance testing (JMeter, Locust) or security testing tools is a plus.
● Exposure to source control (Git) and Agile development practices.