Senior Node.js & AI Solutions Architect

Nagarro; Dubai; On-site; AED 400,000 - 600,000; Full time

Job summary

Nagarro is seeking a senior software engineer in Dubai to design and implement AI-powered features using Node.js and TypeScript. You will work with microservices, RESTful APIs, and containerized deployments to deliver scalable solutions in a regulated industry.

The role emphasizes hands-on coding, cloud/LAN-based AI integration, and collaboration across multiple teams to ensure robust architecture and secure deployments.

Qualifications

• Minimum 8 years of coding experience in NodeJS/JavaScript/TypeScript and NoSQL databases.
• Proven track record of implementing AI-powered features such as chatbots, language understanding and summarization.
• Hands-on experience with cloud and open source LLMs.
• Experience integrating AI frameworks (LangChain, LangGraph) into applications.
• Experience with AI agents, orchestration, and real-world workflow integration.
• Understanding of MCP (Model Context Protocol) or willingness to learn.
• Knowledge of RAG concepts and vector databases for retrieval-augmented generation.
• Experience with container platforms (OpenShift/Kubernetes) for orchestration and deployment.
• Strong knowledge of building scalable, secure RESTful APIs.

Responsibilities

• Ensure the quality of technical and application architecture and design of systems across the organization.
• Write non-blocking code and leverage async patterns (Promises, async/await).
• Architect, automate, and streamline build and deployment processes.

Skills

TypeScript

Node.js

RESTful APIs

Microservices

AI design

LLM frameworks

JavaScript

Tools

LangChain

LangGraph

OpenShift

Kubernetes

Docker

Job description

Nagarro is seeking a senior software engineer in Dubai to design and implement AI-powered features using Node.js and TypeScript. You will work with microservices, RESTful APIs, and containerized deployments to deliver scalable solutions in a regulated industry.

The role emphasizes hands-on coding, cloud/LAN-based AI integration, and collaboration across multiple teams to ensure robust architecture and secure deployments.