InfoVision Middle East
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. Show more Show less
What does a AI Engineer earn in the UAE?
See the full Michael Page salary benchmark — ranges, skills, and career progression.
AED 45,000 – 45,000/mo