
Fullstack Developer
19 hours ago
We are seeking a highly skilled and experienced Full Stack Developer with a strong background in MEAN (MongoDB, , Angular, ) and MERN (MongoDB, , React, ) stacks. The ideal candidate will have hands-on experience with SQL and NoSQL databases, robust backend development, and a working understanding of AI/ML technologies for integration into modern web applications.
Key Responsibilities:
• Design, develop, test, and deploy scalable web applications using MEAN and MERN stack.
• Build and manage RESTful and GraphQL APIs for frontend-backend integration.
• Work with both SQL (MySQL/PostgreSQL) and NoSQL (MongoDB) databases for data modeling, query optimization, and performance tuning.
• Integrate AI/ML models and services (OpenAI, TensorFlow, Python microservices, etc.) into the product to enhance user experience or automate workflows.
• Optimize application for maximum speed and scalability.
• Implement and maintain CI/CD pipelines for deployment automation.
• Collaborate with cross-functional teams, including UI/UX designers, DevOps, and data scientists.
• Stay up-to-date with new trends, tools, and technologies in web development and AI.
• Write clean, maintainable, and well-documented code following best practices.
Required Skills & Qualifications:
• 56 years of experience in full stack development.
• Strong proficiency in JavaScript, TypeScript, ,
• Experience with Angular (v10+) and React (v16+) frameworks.
• Deep understanding of database systems:
• NoSQL: MongoDB, Firebase, etc.
• SQL: MySQL, PostgreSQL, or similar.
• Experience integrating or building AI solutions using:
• REST APIs for OpenAI, Langchain, TensorFlow, or custom Python ML models.
• Basic knowledge of Python for backend or AI-related scripting is a plus.
• Proficiency in using tools like Git, Docker, Jenkins, Postman, Swagger.
• Experience with cloud platforms (AWS / Azure / GCP) and serverless architecture is a bonus.
• Solid understanding of software development best practices and agile methodologies.
Preferred Qualifications:
• Bachelors degree in Computer Science, Engineering, or a related field.
• Certification or hands-on project experience in AI/ML or cloud development.
• Familiarity with DevOps practices and tools like Kubernetes, Nginx, PM2, etc.
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