About the Role :

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. You will leverage 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.