Full Stack Developer - Node.js/React.js

Job Title :

Full-Stack Developer (AI-Augmented)

Location :

Bangalore / Pune (Hybrid / Onsite)

Experience :

46 Years

Employment Type :

Full-time

Notice Period :

Immediate to 15 the Role :

Responsibilities

We are seeking a highly skilled Full-Stack Developer (AI-Augmented) who can build scalable, modern web applications leveraging JavaScript, React/Next.js, Node.js, APIs, and databases. The ideal candidate should also be comfortable using AI-assisted coding tools to accelerate development and improve efficiency. You will work closely with product, design, and AI engineering teams to deliver end-to-end Responsibilities :

• Design, develop, and maintain full-stack applications using React/Next.js (frontend) and Node.js (backend).
• Integrate APIs, microservices, and third-party services into applications.
• Develop and optimize database schemas and queries (SQL/NoSQL).
• Utilize AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, Tabnine) to accelerate development workflows and enhance code quality.
• Implement best practices for scalable architecture, performance, and security.
• Collaborate with cross-functional teams (product managers, AI engineers, designers) to translate requirements into technical solutions.
• Write clean, maintainable, and testable code following modern development standards.
• Participate in code reviews, debugging, and performance tuning.
• Stay updated with emerging AI/ML advancements and suggest how they can be leveraged in development workflows.
• Contribute to DevOps pipelines (CI/CD, version control, Skills & Qualifications :
• 46 years of proven experience as a Full-Stack Developer.
• Strong proficiency in JavaScript, React.js/Next.js, Node.js, and REST/GraphQL APIs.
• Experience with databases (MySQL, PostgreSQL, MongoDB, or similar).
• Hands-on exposure to AI-assisted coding tools.
• Understanding of DevOps practices (GitHub Actions, Docker, Kubernetes preferred).
• Solid grasp of software architecture, design patterns, and performance optimization.
• Good communication, problem-solving, and collaboration to Have (Preferred Skills) :
• Exposure to AI/ML integration into applications.
• Experience with serverless architectures (AWS Lambda, Firebase, etc.).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Knowledge of testing frameworks (Jest, Cypress, Mocha).
  

(ref:hirist.tech)