Overview

Key Responsibilities: • Design, develop, and maintain backend services and APIs using Node.js.

Responsibilities

• Design, develop, and maintain backend services and APIs using Node.js.
• Build scalable and secure REST and GraphQL APIs.
• Develop reusable, maintainable, and testable code.
• Design and optimize PostgreSQL database schemas and queries.
• Collaborate with frontend developers to integrate APIs and services.
• Participate in system design, code reviews, and technical discussions.
• Troubleshoot and resolve application issues in a timely manner.
• Implement security, authentication, and data protection mechanisms.
• Work on AI/ML use cases such as data extraction, document processing, recommendations, and predictive insights.
• Build and maintain data pipelines for processing structured and unstructured data.
• Integrate AI services, LLMs, and machine learning models into business workflows.
• Contribute to cloud-based deployments and DevOps activities.
• Optionally contribute to frontend development using React.js.
• Bachelors/Master’s degree in Computer Science, Information Technology, Computer Engineering, or a related field.
• 1-2 years of experience in backend/software development, with strong hands-on experience in Node.js.
• Strong understanding of JavaScript/TypeScript, Node.js fundamentals, asynchronous programming, and backend architecture.
• Hands-on experience developing RESTful APIs and GraphQL APIs.
• Strong knowledge of PostgreSQL, including database design, schema development, complex queries, indexing, and query optimization.
• Experience with authentication, authorization, API security, data protection, and secure coding practices.
• Good understanding of OOP, data structures, algorithms, design patterns, and software engineering principles.
• Experience writing clean, reusable, maintainable, and testable code, with exposure to unit/integration testing.
• Experience integrating backend APIs with frontend applications, preferably React.js.
• Strong interest or hands-on exposure to AI/ML, Generative AI, LLMs, data engineering, or data processing.