# GenAI Software Engineer - Node.js & LLMs — Global Software Solutions Group

Canonical: https://jobxdubai.com/jobs/li-4446561314-genai-software-engineer-node-js-llms
Location: Dubai, UAE
Type: full_time · Level: senior
Monthly salary: AED 32,000 to 48,000 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-07-29
Apply: https://www.linkedin.com/jobs/view/genai-software-engineer-node-js-llms-at-global-software-solutions-group-4446561314?_l=en

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## Description

We are looking for a highly skilled Software Engineer with strong expertise in Node.js, Generative AI, and modern AI application development to support enterprise Business Platforms and Risk & Compliance initiatives.

The ideal candidate will have hands-on experience building production-grade AI-powered applications and integrating Large Language Models (LLMs), APIs, and enterprise data sources. This role requires strong backend engineering capabilities, experience with GenAI frameworks and cloud-based AI services, and the ability to develop scalable, secure, and high-performance AI-enabled systems.

The successful candidate will work closely with cross-functional engineering teams to design and develop intelligent applications that leverage modern AI technologies while adhering to enterprise-grade engineering standards.

Requirements

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Node.js and TypeScript

• Build production-grade AI-powered applications integrating LLMs, APIs, and enterprise data sources

• Develop and maintain RESTful APIs using Express.js

• Design and implement AI workflows using modern GenAI frameworks and orchestration tools

• Integrate cloud-based AI services from Azure and AWS platforms

• Build and optimize AI-enabled business applications for Risk & Compliance initiatives

• Develop robust prompt engineering strategies for enterprise AI use cases

• Implement scalable data processing pipelines and AI integrations

• Collaborate with product, engineering, and business teams to deliver AI-driven solutions

• Participate in code reviews and contribute to engineering best practices and architecture discussions

• Troubleshoot and optimize application performance, scalability, and reliability

• Ensure adherence to software engineering, security, and coding standards

Required Technical Skills

Backend Technologies

• Node.js

• TypeScript

• Express.js

Databases

• PostgreSQL

• MongoDB

• Redis

• Vector Databases

Testing Frameworks

• Playwright

• Jest

Cloud Platforms

• Microsoft Azure

• Amazon Web Services (AWS)

AI Platforms & Services

• Azure OpenAI

• OpenAI API

• AWS Bedrock

AI Frameworks & Integrations

• LangChain

• LangGraph

• Prompt Engineering

• LLM Integrations

• AI Model Orchestration

• API Integrations

Required GenAI Expertise

Candidates should have hands-on experience with:

• Building production-grade Generative AI applications

• Integrating Large Language Models (LLMs) with enterprise applications

• Developing AI-powered workflows using LangChain and LangGraph

• Working with vector databases for semantic search and Retrieval-Augmented Generation (RAG) use cases

• Prompt engineering techniques for enterprise AI applications

• Designing scalable and secure AI-enabled systems

Required Technical Competencies

• Strong understanding of RESTful API design principles

• Experience developing scalable and secure backend architectures

• Strong understanding of distributed systems and modern software engineering practices

• Experience working with production-grade AI and cloud-native applications

• Familiarity with CI/CD and modern development workflows

• Excellent debugging, problem-solving, and performance optimization skills

Required Academic Knowledge

Candidates should possess a good understanding of:

• Linear Algebra

• Probability

• Statistics

These concepts are essential for understanding modern AI and machine learning systems and their practical enterprise applications.

Preferred Experience

• Enterprise AI application development

• Risk & Compliance platforms

• Business platform engineering

• Cloud-native architectures

• Large-scale backend systems

• Modern AI and LLM ecosystems

Required Competencies

• Strong analytical and problem-solving skills

• Excellent communication and stakeholder management capabilities

• Ability to work effectively in Agile and cross-functional teams

• Strong ownership mindset and delivery excellence

• Quick learner with a passion for modern AI technologies and continuous innovation

• Ability to adapt to evolving business and technical requirements

Preferred Domain Experience

• Banking

• Financial Services

• Risk & Compliance Platforms

• Enterprise Business Applications

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