Full Stack Engineer

Full Stack Developer with MERN & AI

• Full Stack Development: Design, develop, and maintain high-quality, performant applications across the entire stack, including front-end user interfaces, back-end services, APIs, and database interactions.
• AI Integration: Actively explore, evaluate, and implement AI-driven tools and methodologies to enhance various stages of software development, such as:
• Code Generation: Utilizing AI assistants to generate boilerplate code, suggest patterns, or assist with complex logic.
• Debugging: Leveraging AI for intelligent error detection, root cause analysis, and suggested fixes.
• Deployment: Exploring AI-assisted automation for testing, release management, and infrastructure provisioning.
• Architectural Contribution: Work closely with architects and other development teams to ensure new applications align with enterprise architecture standards, promoting reusability, scalability, and maintainability.
• Quality Assurance: Implement best practices for code quality, security, and performance, including unit testing, integration testing, and code reviews.
• Problem Solving: Diagnose and resolve complex technical issues throughout the application lifecycle.
• Continuous Learning: Stay abreast of emerging technologies in full-stack development, AI/ML, and enterprise software trends.
• AI Acumen: Articulate the benefits (e.g., increased velocity, improved code quality, reduced manual effort) and potential challenges/pitfalls (e.g., data privacy, ethical considerations, over-reliance, integration complexity) of AI in an enterprise development context.
• Collaboration: Collaborate effectively with product managers, UX/UI designers, and other engineering teams to translate requirements into technical solutions.
• Documentation: Create and maintain clear technical documentation for applications, APIs, and development processes.
• (Plus) Industry Specific Application: Apply domain knowledge in manufacturing or renewable energy to build applications that address specific industry challenges and opportunities.

Required Skills & Experience:

• Bachelor's degree in Computer Science, Information Technology, or a related engineering discipline.
• 4-8 years of hands-on experience in full-stack web application development.
• Proficiency in at least one modern front-end framework (e.g., React, Angular, ) and one back-end language/framework (e.g., , Python/Django/Flask, Java/Spring Boot, C#/.NET Core),
  MERN.
• Experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and/or NoSQL databases (e.g., MongoDB, Cassandra).
• Strong understanding of RESTful API design, development, and consumption.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and CI/CD pipelines.
• Demonstrated interest in and a foundational understanding of how AI can be applied to software development tasks.
• Experience with version control systems, particularly Git.
• Excellent analytical, problem-solving, and debugging skills.
• Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.

Desired Qualifications (Good to have):

• Prior experience working in the manufacturing, or renewable energy sectors.
• Practical experience with specific AI coding assistants (e.g., GitHub Copilot, Vibe, Canvas) or AI-driven testing tools.
• Understanding of microservices architecture and distributed systems.
• Knowledge of enterprise integration patterns.
• Contributions to open-source projects or a strong personal project portfolio showcasing technical abilities.