AI Engineer

InfoVision Middle East; Dubai; On-site; AED 350,000 - 600,000; Full time

Job summary

InfoVision Middle East seeks a hands-on AI Engineer to design and deliver enterprise-grade GenAI, Conversational AI, and Agentic AI solutions in a fast-paced setting.

You will coordinate offshore teams and own backend services, data validation, and React-based AI applications with a strong emphasis on MLOps, CI/CD, and Responsible AI practices.

Qualifications

• Experience delivering GenAI, LLM, and agentic AI solutions in enterprise settings.
• Strong backend and data validation duties; solid React exposure is a plus.
• Hands-on architecture and implementation of AI workflows and tooling.

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.

Skills

GenAI

LLMs

Agentic AI

RAG

Embeddings

Prompt engineering

LangChain

LangGraph

Haystack

Python

SQL

Spark

FastAPI

Flask

REST APIs

PyTorch

TensorFlow

Data validation

Tools

LangChain

LangGraph

Haystack

Azure Functions

AKS

Redis

Bot Framework

API Management

Entra ID

Job description

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
• FastAPI / Flask / REST APIs
• PyTorch / TensorFlow
• Data validation & data-quality frameworks

Good to have:

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