AI Engineer: Generative & Agentic Platforms

IrisStar Technologies

Dubai

On-site

AED 180,000 - 260,000

Full time

4 days ago
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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

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.

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