AI Engineer / Agentic AI Developer
- Dubai, United Arab Emirates
Posted yesterday
About the role
Job Description
We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and Retrieval-Augmented Generation (RAG) . The successful candidate will be responsible for building intelligent AI agents and workflows capable of reasoning, planning, task execution, and orchestration while ensuring all solutions are deployed in an on-premises environment using local AI models and tools.
Key Responsibilities
- Gather, analyze, and translate business requirements into scalable AI and Agentic AI solutions.
- Design, develop, test, deploy, and maintain AI-powered applications and autonomous AI agents.
- Build Agentic AI workflows capable of reasoning, planning, task execution, and orchestration.
- Develop and integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures.
- Integrate AI solutions with enterprise applications, APIs, databases, cloud services, and on-premises systems.
- Optimize AI models, prompts, workflows, and application performance.
- Ensure AI solutions comply with enterprise security, governance, privacy, and Responsible AI standards.
- Prepare technical documentation, deployment guides, operational manuals, and knowledge transfer materials.
- Provide technical support, troubleshooting, performance tuning, and continuous improvements.
- Design and implement AI solutions using on-premises infrastructure, local models, and enterprise-approved AI tools.
- Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
- 5+ years of software development experience, including 2+ years working with AI/Generative AI technologies.
- Strong experience with Python and AI application development.
- Hands-on experience with Large Language Models (LLMs) and prompt engineering.
- Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
- Experience building Agentic AI or multi-agent systems.
- Experience integrating AI applications with REST APIs, databases, and enterprise applications.
- Familiarity with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar.
- Experience working with vector databases such as Milvus, ChromaDB, FAISS, Pinecone, or equivalent.
- Knowledge of model deployment using Ollama, vLLM, Hugging Face Transformers, NVIDIA NIM, or similar on-premises inference platforms.
- Experience deploying and managing AI solutions in on-premises environments.
- Understanding of AI security, governance, privacy, and Responsible AI principles.
- Experience with Docker, Kubernetes, Git, and CI/CD pipelines is preferred.
- Strong analytical, problem-solving, communication, and documentation skills.
- Experience with open-source LLMs such as Llama, Mistral, Qwen, Gemma, or DeepSeek.
- Experience with GPU infrastructure and AI model optimization.
- Knowledge of MLOps practices and AI monitoring.
- Experience integrating AI solutions with enterprise platforms such as SAP, ServiceNow, Microsoft 365, or other enterprise systems.
- Experience working in highly secure or regulated enterprise environments.