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)
