Nagarro Lead Gen AI Engineer \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Lead Gen AI Engineer Full-time Service Region: Middle East Job Description Lead the engineering, deployment, and scaling of enterprise-grade AI platforms. Build production-ready GenAI, RAG, and ML systems, mentor engineers, and ensure reliability and observability across AI operations. Key Responsibilities: Architect and implement Conversational AI, LLM agents, multi-agent workflows, and automation frameworks. Develop APIs/SDKs for enterprise AI services and optimize RAG pipelines with vector DB integrations. Drive MLOps on Azure: CI/CD, monitoring, retraining, and performance tuning. Translate research into applied solutions and lead PoC evaluations. Manage end-to-end delivery, UAT, and production rollout readiness. Must-Have Skills: Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design Python (Strong) and advanced RAG Workflow experience Hands-on with agentic workflows and scalable LLM integrations Arabic proficiency is a plus. I'm interested I'm interested ImprintCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Lead Gen AI Engineer Dubai/Abu Dhabi, United Arab Emirates Full-time I'm interested I'm interested

The role requires strong Python skills and advanced RAG workflow experience. Proficiency in agentic workflows and scalable LLM integrations is necessary. Candidates must have experience with Generative AI Fundamentals, Machine Learning Solution Design, and Data Science on Azure. Experience with Conversational AI, LLM agents, multi-agent workflows, and automation frameworks is also required. The position involves developing APIs/SDKs for enterprise AI services and optimizing RAG pipelines with vector DB integrations. Driving MLOps on Azure, including CI/CD, monitoring, retraining, and performance tuning, is a key responsibility.