AI Engineer (Generative AI & Agentic AI Platforms) | IrisStar Technologies | Dubai, UAE

IrisStar Technologies; Dubai; On-site; AED 180,000 - 260,000; Full time

Job summary

IrisStar Technologies in Dubai, UAE, seeks an AI Engineer to design and deploy enterprise-grade Generative AI and Agentic AI platforms. You will architect multi-agent systems, implement RAG pipelines, and build scalable AI services in production environments.

The role requires deep expertise in LLMs, embeddings, vector search, and modern AI orchestration frameworks, with a strong software engineering background and collaboration across data and platform teams.

Qualifications

• Requires Bachelor's degree in CS/AI/DS/SE or related field.
• Strong hands-on with LLMs, Transformers, embeddings, prompt/context engineering.
• Proven track record in end-to-end Generative AI and Agentic AI products.

Responsibilities

• Design, develop, and deploy end-to-end Generative AI and Agentic AI solutions.
• Build and optimize RAG pipelines using enterprise data.
• Architect multi-agent systems coordinating reasoning, retrieval, tools, and actions.
• Develop AI apps using LangChain, LangGraph, Haystack, n8n, and Copilot ecosystem.

Skills

LLMs

Transformers

Prompt Engineering

Context Engineering

RAG Architectures

Multi-agent Systems

LangChain

LangGraph

Haystack

n8n

Copilot ecosystem

Vector Databases

Graph Databases

Azure AI Search

Neo4j

Databricks Vector Search

Python

SQL

Spark

React

TypeScript

FastAPI

Flask

PyTorch

TensorFlow

Education

Bachelors in CS/AI/DS/SE

Tools

Azure OpenAI Service

Kubernetes

Docker

Job description

Job Title: AI Engineer (Generative AI & Agentic AI Platforms) | IrisStar Technologies | Dubai, UAE

Recruiting Company: IrisStar Technologies

Job Location: Dubai, United Arab Emirates

Job Type: Full-Time / Contract

Position Summary

IrisStar Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions. This role is ideal for professionals with deep expertise in LLMs, RAG architectures, multi-agent systems, MLOps, and modern AI application development who are passionate about building production-ready intelligent platforms.

Detailed Job Description

As an AI Engineer, you will lead the development of advanced Generative AI and Agentic AI applications that transform enterprise data into actionable intelligence and intelligent workflows. You will be responsible for architecting multi-agent systems, implementing Retrieval-Augmented Generation (RAG) solutions, integrating vector and graph databases, and deploying scalable AI services into production environments. Working closely with data engineers, software developers, business stakeholders, and platform teams, you will deliver end-to-end AI products that leverage state-of-the-art foundation models and modern AI orchestration frameworks. This role requires a strong blend of software engineering, machine learning, cloud architecture, and AI solution design expertise.

Key Responsibilities

• Design, develop, and deploy end-to-end Generative AI and Agentic AI solutions
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using enterprise structured and unstructured data
• Architect and implement multi-agent AI systems that coordinate reasoning, retrieval, tools, and actions
• Develop AI-powered applications using LangChain, LangGraph, Haystack, n8n, Microsoft Copilot ecosystem, or similar frameworks
• Design and manage vector search and graph-based knowledge retrieval solutions
• Implement prompt engineering, context engineering, embedding strategies, and model evaluation methodologies
• Develop backend AI services and APIs using FastAPI, Flask, or equivalent frameworks
• Build scalable React, JavaScript, and TypeScript front-end applications supporting AI workflows
• Develop and optimize machine learning pipelines using Python, Spark, PyTorch, and TensorFlow
• Perform data validation, reconciliation, KPI validation, business rule validation, and data quality assurance
• Monitor, troubleshoot, and optimize production AI systems for performance, cost, and reliability
• Collaborate with cross-functional teams to deliver secure, scalable, and business-focused AI solutions

Required Qualifications & Skills

• Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field
• Strong hands‑on understanding of Large Language Models (LLMs), Transformers, Embeddings, Prompt Engineering, and Context Engineering
• Proven experience building and deploying end-to-end Generative AI and Agentic AI products
• Extensive experience implementing Retrieval-Augmented Generation (RAG) architectures
• Hands‑on expertise with LangChain, LangGraph, Haystack, n8n, Microsoft Copilot ecosystem, or equivalent AI orchestration frameworks
• Strong experience designing and deploying multi‑agent architectures
• Experience with Vector Databases and Graph Databases
• Hands‑on experience with Azure AI Search, Neo4j, Databricks Vector Search, or similar technologies
• Strong proficiency in Python, SQL, and Apache Spark
• Experience developing React, JavaScript, and TypeScript applications
• Hands‑on experience building APIs and backend services using FastAPI, Flask, or equivalent frameworks
• Experience with PyTorch and/or TensorFlow
• Expertise in AI evaluation frameworks, model testing, and quality assessment methodologies
• Strong experience with enterprise data validation and business‑rule enforcement
• Experience operating large‑scale AI/ML solutions in production environments
• Excellent analytical, problem‑solving, and communication skills

Nice-to-Have Skills

• Experience with Azure OpenAI Service, Azure AI Foundry, or Microsoft AI platforms
• Knowledge of MLOps, LLMOps, and AI observability frameworks
• Experience with Kubernetes, Docker, and cloud‑native deployments
• Familiarity with enterprise knowledge graphs and semantic search architectures
• AI, Cloud, or Data Engineering certifications from Microsoft, AWS, Google Cloud, Databricks, or NVIDIA

Recruitment Pro Tip

To maximize your chances of being shortlisted, ensure your CV prominently highlights LLMs, Agentic AI, RAG, LangChain, LangGraph, Multi‑Agent Systems, Vector Databases, Neo4j, Azure AI Search, Databricks Vector Search, Prompt Engineering, Context Engineering, FastAPI, PyTorch, TensorFlow, React, TypeScript, Microsoft Copilot, and Production AI Deployments. Include measurable results such as accuracy improvements, cost reductions, latency optimization, automation gains, or successful enterprise AI implementations.