# AI Engineer / Agentic AI Developer

**Company:** [Müller`s Solutions](http://jobs.workable.com/companies/gm11uMvT8uVyoZ4ML8WEiM.md)
**Location:** Dubai, United Arab Emirates
**Workplace:** on site

[Apply for this job](http://jobs.workable.com/view/7422780f-c1b0-47b8-9fe8-1b56f43c1200)

## Description

### 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**.

## Requirements

-   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.

### Preferred 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.

This JD is aligned with your requirement that **all AI use cases must run on-premises using local models and on-premises tools**, making it suitable for enterprise or government projects.