On-Prem Enterprise AI Engineer: Agentic & LLM Expert

Müller's Solutions; Dubai; On-site; AED 350,000 - 550,000; Full time

Job summary

Müller’s Solutions is seeking experienced AI Engineers to design, develop, and deploy enterprise-grade AI solutions focused on Agentic AI, LLMs, and RAG. Solutions must run on-premises with local models and tools, orchestrating autonomous agents and workflows.

The role requires 5+ years in software development, strong Python skills, and hands-on experience with AI/Generative AI technologies, REST APIs, and on-premises deployment.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• 5+ years of software development experience, including 2+ years 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.

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.

Skills

Analytical thinking

Problem solving

Communication

Documentation

Education

Bachelor's degree in Computer Science, AI, or Software Engineering

Tools

Python

LLMs & prompt engineering

REST APIs

Docker

Kubernetes

CI/CD

LangChain / LangGraph / LlamaIndex

Milvus / FAISS / ChromaDB / Pinecone

On-premises inference platforms

Job description

Müller’s Solutions is seeking experienced AI Engineers to design, develop, and deploy enterprise-grade AI solutions focused on Agentic AI, LLMs, and RAG. Solutions must run on-premises with local models and tools, orchestrating autonomous agents and workflows.

The role requires 5+ years in software development, strong Python skills, and hands-on experience with AI/Generative AI technologies, REST APIs, and on-premises deployment.