# AI Engineer — InfoVision Middle East

Canonical: https://jobxdubai.com/jobs/li-4456001373-ai-engineer
Location: Dubai, UAE
Type: full_time · Level: senior
Monthly salary: AED 36,000 to 65,000 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-08-21
Apply: https://www.linkedin.com/jobs/view/ai-engineer-at-infovision-middle-east-4456001373?_l=en

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## Description

AI Engineer | GenAI & Agentic AI

We are looking for a highly skilled, hands-on AI Engineer to design and deliver enterprise-grade GenAI, Conversational AI, and Agentic AI solutions.

This is primarily an Individual Contributor role (hands-on development / offshore team coordination), requiring strong expertise across GenAI, AI/ML, backend engineering, data validation, and React development.

Key Responsibilities

• Design and deploy production-ready GenAI, RAG, and Agentic AI solutions.

• Build multi-agent workflows using LangChain, LangGraph, Haystack, or similar frameworks.

• Implement tool calling, contextual retrieval, memory management, and AI workflow automation.

• Develop RAG and hybrid search solutions using vector/graph databases.

• Perform data-quality validation, KPI/business-rule validation, reconciliation, and anomaly detection.

• Develop scalable Python APIs/backend services and React-based AI applications.

• Integrate AI solutions with enterprise systems and the Microsoft Azure ecosystem.

• Implement MLOps/LLMOps, CI/CD, monitoring, observability, guardrails, and Responsible AI practices.

• Review and coordinate technical deliverables from offshore development teams.

Required Skills

• Strong hands-on experience with GenAI, LLMs, Agentic AI, RAG, embeddings & prompt engineering

• LangChain / LangGraph / Haystack

• Python, SQL, Spark

• React.js, JavaScript / TypeScript

• FastAPI / Flask / REST APIs

• Vector & Graph DBs – Azure AI Search, Databricks Vector Search, Neo4j

• Azure OpenAI, Azure Databricks, ADF

• PyTorch / TensorFlow

• Data validation & data-quality frameworks

• MLOps / LLMOps & production AI deployment

• Experience building large-scale enterprise AI/ML solutions

Good to have: n8n, Microsoft Copilot ecosystem, Databricks Genie, Azure Functions, AKS, Redis, Bot Framework, API Management & Entra ID.

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## Requirements

Required Skills
- GenAI, LLMs, Agentic AI, RAG, embeddings & prompt engineering
- LangChain / LangGraph / Haystack
- Python, SQL, Spark
- React.js, JavaScript / TypeScript
- FastAPI / Flask / REST APIs
- Vector & Graph DBs – Azure AI Search, Databricks Vector Search, Neo4j
- Azure OpenAI, Azure Databricks, ADF
- PyTorch / TensorFlow
- Data validation & data-quality frameworks
- MLOps / LLMOps & production AI deployment
- Experience building large-scale enterprise AI/ML solutions

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