Role Overview
We are seeking a highly skilled Full Stack Developer with at least 2.5 years of experience to join our product engineering team. In this role, you will be responsible for building and maintaining a microservices-based multi-tenant framework using the MERN stack, while also enabling seamless integrations with Python-based applications that leverage Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and the Azure AI Library
Key Responsibilities
- Design, develop, and maintain microservices using Node.js/Express.js in a multi-tenant architecture.
- Build end-to-end solutions using MERN stack (MongoDB, Express.js, React.js, Node.js).
- Integrate front-end components with backend logic for seamless performance and UX.
- Develop and integrate with Python-based services and APIs (Flask/FastAPI) that implemen tRAG workflows and LLMs.
- Leverage the Azure AI Library for embedding AI-powered features into applications.
- Implement and maintain RESTful APIs for internal services and external third-party integrations.
- Optimize backend performance with efficient code, data structures, and caching mechanisms.
- Use Azure (or AWS) cloud services for deployment, monitoring, auto scaling, and system health.
- Work with both relational (MySQL/PostgreSQL) and NoSQL (MongoDB) databases to manage distributed data.
- Follow DevOps practices, CI/CD pipelines, and containerization (Docker; Kubernetes is a plus).
- Ensure data security, system availability, and compliance in a cloud-native environment.
- Conduct code reviews, debug issues, and optimize applications for performance and scalability.
- Collaborate closely with product managers, designers, and cross-functional engineering teams.
- Required Qualifications
- Bachelor s degree in Computer Science, Information Technology, or related field.
- Minimum of 2.5 years experience as a Full Stack or Backend Developer.
- Hands-on expertise in MERN stack (MongoDB or MySQL, Express.js, React.js, Node.js).
- Experience with Microservices architecture and REST API development.
- Practical exposure to Python web frameworks like Flask or FastAPI.
- Experience integrating or developing AI capabilities using RAG, LLMs, or Azure AI Services.
- Familiarity with cloud platforms (Azure preferred; AWS/GCP acceptable).
- Working knowledge of containerization tools (Docker; Kubernetes is a plus).
- Proficient in database design, performance tuning, and managing distributed data systems.
- Strong understanding of multi-tenant architecture, application security, and scalability.
- Version control experience (preferably Git).
- Excellent communication, collaboration, and analytical skills.
- Stack Application, Node Js +, React Js, Web Developement
