AI Engineer – GenAI & Agentic AI | Conversational AI | Dubai, UAE

Irisstar; United Arab Emirates; On-site; AED 180,000 - 260,000; Full time

Job summary

Irisstar in Dubai seeks an AI Engineer to design, develop, and deploy enterprise-grade GenAI, Conversational AI, and agentic AI solutions. You will work on LLM-based systems, RAG, and multi-agent architectures across cloud platforms and integrations.

The role requires strong Python/SQL, experience with LangChain, OpenAI, and Azure OpenAI, plus knowledge of vector databases and MLOps. Growth through advanced AI training and enterprise projects is offered.

Qualifications

• Strong hands-on experience with GenAI and LLM-based solutions.
• Experience with RAG, prompt/context engineering, and multi-agent AI.
• Strong Python and SQL skills.
• Experience with React, JavaScript, and TypeScript.
• Experience with LangChain, LangGraph, Haystack, OpenAI, or Azure OpenAI.
• Strong knowledge of vector databases, Azure AI Search, Neo4j, and Databricks.
• Experience with FastAPI or Flask.
• Knowledge of PyTorch or TensorFlow.
• Experience with APIs and enterprise integrations.
• Knowledge of Azure and cloud-based AI solutions.
• Experience with MLOps/LLMOps, CI/CD, monitoring, and AI security.
• Understanding of AI guardrails, data quality, validation, and KPI validation.
• Strong communication and stakeholder-management skills.
• Ability to collaborate with cross-functional and offshore development teams.

Responsibilities

• Design, develop, and deploy enterprise-grade GenAI solutions.
• Build Conversational AI and Agentic AI applications.
• Develop LLM-based solutions using RAG, prompt engineering, and context engineering.
• Design and implement multi-agent AI architectures.
• Develop AI applications using LangChain, LangGraph, Haystack, OpenAI, and Azure OpenAI.
• Work with vector databases, Azure AI Search, Neo4j, and Databricks.
• Develop APIs and enterprise integrations using FastAPI or Flask.
• Work with Python, SQL, React, JavaScript, and TypeScript.
• Apply PyTorch or TensorFlow where required.
• Support Azure-based AI solutions and cloud infrastructure.
• Implement MLOps/LLMOps, CI/CD, monitoring, security, and AI guardrails.
• Ensure data quality and perform validation against business rules and KPIs.
• Collaborate with architects, business teams, data teams, engineering teams, and offshore developers.
• Support production deployment and continuous improvement of AI solutions.

Skills

GenAI & LLM expertise

RAG & prompt engineering

Python

SQL

Communication & stakeholder mgmt

Cloud/Enterprise infra

Tools

LangChain

LangGraph

Haystack

OpenAI

Azure OpenAI

FastAPI

Flask

PyTorch

TensorFlow

Databricks

Neo4j

Azure AI Search

React

JavaScript

TypeScript

Job description

Location

Dubai, United Arab Emirates

Job Category

• Information Technology (IT) & Software
• Science & Research
• Engineering & Technical
• Others / Miscellaneous

Job Overview

An AI Engineer opportunity is available in Dubai for a hands-on professional responsible for designing, developing, and deploying enterprise-grade Generative AI, Conversational AI, and Agentic AI solutions. The role focuses on large language models, Retrieval-Augmented Generation (RAG), prompt and context engineering, and multi-agent AI architectures.

The successful candidate will work across AI engineering, cloud platforms, enterprise integrations, data validation, and production AI environments. Strong expertise in Python, SQL, modern AI frameworks, vector databases, Azure technologies, and MLOps/LLMOps is required. The role provides opportunities for professional development, advanced AI training, certification, and long-term career growth in enterprise AI engineering.

Key Responsibilities

• Design, develop, and deploy enterprise-grade GenAI solutions.
• Build Conversational AI and Agentic AI applications.
• Develop LLM-based solutions using RAG, prompt engineering, and context engineering.
• Design and implement multi-agent AI architectures.
• Develop AI applications using LangChain, LangGraph, Haystack, OpenAI, and Azure OpenAI.
• Work with vector databases, Azure AI Search, Neo4j, and Databricks.
• Develop APIs and enterprise integrations using FastAPI or Flask.
• Work with Python, SQL, React, JavaScript, and TypeScript.
• Apply PyTorch or TensorFlow where required.
• Support Azure-based AI solutions and cloud infrastructure.
• Implement MLOps/LLMOps, CI/CD, monitoring, security, and AI guardrails.
• Ensure data quality and perform validation against business rules and KPIs.
• Collaborate with architects, business teams, data teams, engineering teams, and offshore developers.
• Support production deployment and continuous improvement of AI solutions.

Requirements & Qualifications

• Strong hands-on experience with GenAI and LLM-based solutions.
• Experience with RAG, prompt/context engineering, and multi-agent AI.
• Strong Python and SQL skills.
• Experience with React, JavaScript, and TypeScript.
• Experience with LangChain, LangGraph, Haystack, OpenAI, or Azure OpenAI.
• Strong knowledge of vector databases, Azure AI Search, Neo4j, and Databricks.
• Experience with FastAPI or Flask.
• Knowledge of PyTorch or TensorFlow.
• Experience with APIs and enterprise integrations.
• Knowledge of Azure and cloud-based AI solutions.
• Experience with MLOps/LLMOps, CI/CD, monitoring, and AI security.
• Understanding of AI guardrails, data quality, validation, and business-rule/KPI validation.
• Strong communication and stakeholder-management skills.
• Ability to collaborate with cross-functional and offshore development teams.

Salary, Benefits & Career Growth

Salary and compensation details were not provided by the employer and therefore are not listed.

The role offers opportunities for:

• Advanced professional development in GenAI and Agentic AI.
• Training and upskilling in emerging AI technologies.
• Exposure to enterprise AI architecture and production deployments.
• MLOps/LLMOps and cloud AI experience.
• AI engineering and cloud certification opportunities.
• Career progression in AI engineering, Generative AI, and enterprise AI solutions.