# GenAI Software Engineer - Node.js & LLMs

> GSSTech Group · Dubai, United Arab Emirates · — · Posted 2026-07-29

**Workplace:** on_site

## 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

## Apply

[Apply at GSSTech Group](https://apply.workable.com/gsstech-group/j/ED183BFA10/apply)

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