Full Stack Engineer

Job Title: Full Stack Developer

Location: Remote

Duration: Full-Time

Job Description:

We are looking for an experienced Full Stack Developer to join our engineering team. The ideal candidate will have strong expertise in building scalable, secure, and high-performance applications using PHP (Laravel), React, and modern cloud-native technologies. The candidate should also have practical knowledge of AI technologies, prompt engineering, RAG/MCP, and AI-assisted software development. You will be responsible for designing and developing distributed systems, implementing microservices, contributing to architecture, CI/CD, and DevOps initiatives, and leveraging AI tools to improve development productivity and solution quality.

Key Responsibilities

• Design, develop, test, deploy, and maintain scalable web applications.
• Develop microservices-based applications using PHP (Laravel).
• Build and consume RESTful APIs with OAuth2/JWT authentication.
• Develop responsive user interfaces using React, HTML5, CSS3, Bootstrap, and Ajax.
• Containerize applications using Docker and manage deployments with Kubernetes.
• Design highly available, scalable, and maintainable distributed systems.
• Work with Kafka/RabbitMQ for asynchronous communication.
• Implement caching strategies using Redis/Memcached.
• Optimize MySQL databases through efficient queries, stored procedures, functions, and views.
• Participate in architecture discussions, code reviews, and technical documentation.
• Build and maintain CI/CD pipelines for automated deployments.
• Leverage AI tools and AI-assisted development practices to improve coding efficiency, code quality, debugging, testing, and documentation.
• Apply prompt engineering techniques to effectively interact with and utilize Large Language Models (LLMs) for software development and business use cases.
• Demonstrate working knowledge of RAG (Retrieval-Augmented Generation) and MCP (Model Context Protocol), including their application in AI-powered systems and integrations.
• Use AI coding assistants such as Cursor, Claude Code, GitHub Copilot, or similar tools as part of the software development workflow.
• Collaborate with Agile teams throughout the software development lifecycle.
• Mentor junior developers and promote engineering best practices.

Required Skills

• Strong experience with PHP and Laravel Framework.
• Experience building Microservices Architecture.
• Hands-on experience with Docker and Kubernetes.
• Strong knowledge of React.js.
• Experience with REST APIs, OAuth2, and JWT.
• Strong understanding of MySQL and experience with MongoDB and Redis.
• Experience with Kafka and/or RabbitMQ.
• Strong knowledge of OOP, SOLID Principles, Design Patterns, and Dependency Injection.
• Experience with HTML5, CSS3, Bootstrap, Ajax, JSON, and XML.
• Experience with CI/CD pipelines.
• Practical knowledge of AI concepts and Large Language Models (LLMs).
• Knowledge of Prompt Engineering and the ability to design effective prompts for AI/LLM-based applications.
• Understanding of RAG (Retrieval-Augmented Generation) and MCP (Model Context Protocol).
• Hands-on experience or strong working knowledge of AI-assisted coding tools such as Cursor, Claude Code, GitHub Copilot, or similar tools.
• Ability to effectively use AI coding tools for code generation, refactoring, debugging, testing, documentation, and development productivity.
• Familiarity with Jira or VersionOne.
• Understanding of Agile/Scrum methodologies.
• Exposure to mobile application development is an added advantage.
• Excellent communication skills with advanced English proficiency.

Preferred Qualifications

• Experience designing enterprise-scale distributed systems.
• Experience integrating AI/LLM capabilities into web applications or enterprise systems.
• Experience implementing RAG-based applications, AI agents, or MCP-based integrations is a plus.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus.
• Strong analytical and problem-solving skills.
• Ability to mentor team members and work in a collaborative environment.
• Ability to evaluate, adopt, and effectively leverage emerging AI development tools and technologies.