Senior Software Engineer – Full Stack (AI-Powered Development)

About the role

We are looking for a talented and passionate Senior Software Engineer with strong full‑stack expertise in React.js and Node.js and hands‑on experience with AI‑assisted coding tools. You will play a key role in designing, building, and scaling modern web applications while leveraging AI to accelerate development and innovation.

Key responsibilities

• Design, develop, and maintain scalable, high‑performance web applications using React.js (frontend) and Node.js (backend).
• Build and consume RESTful APIs and GraphQL services.
• Develop reusable, modular, and maintainable code following best practices.
• Collaborate with UI/UX designers to translate wireframes into responsive, pixel‑perfect interfaces.
• Optimize application performance, scalability, and security.
• Leverage AI coding tools such as GitHub Copilot, ChatGPT, or Cursor to accelerate development workflows.
• Integrate AI/ML APIs and LLM‑based features (e.g., OpenAI, Claude, Gemini) into web applications.
• Build intelligent features like smart search, recommendations, chatbots, or automation workflows.
• Lead technical design discussions and contribute to system architecture decisions.
• Conduct code reviews, mentor junior developers, and drive best practices around CI/CD and DevOps.
• Collaborate closely with product managers, QA, and cross‑functional teams to break down complex requirements into actionable tasks.

Required skills

• 5–10 years of full‑stack development experience.
• Strong proficiency in React.js (hooks, context API, Redux, Next.js).
• Strong proficiency in Node.js (Express.js, microservices, REST APIs).
• Experience with databases such as MongoDB, PostgreSQL, or MySQL.
• Proficiency in JavaScript (ES6+) and TypeScript.
• Experience with Git, GitHub/GitLab and branching strategies.
• Familiarity with AI coding assistants (GitHub Copilot, Cursor, etc.) and integrating third‑party AI/LLM APIs.
• Understanding of cloud platforms – AWS, Azure, or GCP.
• Knowledge of Docker, Kubernetes, and CI/CD pipelines (good to have).
• Experience with WebSockets, Redis, or message queues like Kafka/RabbitMQ (good to have).
• Exposure to prompt engineering or fine‑tuning LLMs and Agile/Scrum methodology (good to have).