Architect

Job requirements

Experience Range: 10 years of experience, including substantial expertise in architecting MERN fullstack microservices and AI-driven solutions Key Responsibilities:

Define and drive the architecture for AI-first products, ensuring scalability from MVP through production environments
Design Agentic AI architectures with autonomous and semi-autonomous AI agents, tools, workflows, memory, planning, reasoning, and orchestration
Determine optimal use of LLM-based agents, Retrieval-Augmented Generation (RAG), deterministic workflows, APIs/services, and machine learning models for product features
Architect and implement distributed systems and microservices using MERN stack, integrating NodeJS, React JS, and NestJS
Develop and optimize event-driven architectures leveraging Kafka, Docker, and Kubernetes for orchestration and deployment
Establish automated CI/CD pipelines for efficient deployment and continuous integration
Ensure high performance, security, and reliability of cloud-native applications on Microsoft Azure, integrating MongoDB as needed
Lead code reviews, enforce best practices in coding standards, and mentor engineering teams in advanced JavaScript/Typescript and testing frameworks such as Jest

Required Skills

Typescript
JavaScript
NodeJS
Express JS
React JS
NestJS
CSS3
HTML5
MongoDB
Kafka
Docker
Kubernetes
Jest
Distributed microservices architecture

Preferred Skills

Experience architecting AI-first and Agentic AI solutions
Hands-on experience with Microsoft Azure cloud services
Knowledge of AI orchestration patterns
Expertise in planning and reasoning workflows for AI agents
Familiarity with Retrieval-Augmented Generation (RAG) techniques
Experience integrating traditional APIs and ML models into microservices
Experience with Oracle RDBMS

Desired Qualifications

Bachelor's degree in Computer Science, Information Technology, or Software Engineering
Microsoft Certified: Azure Solutions Architect Expert
Certified Kubernetes Administrator (CKA)