AI Systems Integration Engineer - UAE

We are seeking a skilled and hands-on AI Systems Integration Engineer with a strong background in .NET (Web Forms and Core) and Python to lead the deployment, integration, and operationalization of local Large Language Models (LLMs) using Compass AI, GenAI Studio, and related enterprise-grade infrastructure. This role requires strong software development capabilities, AI system integration knowledge, and experience in orchestrating AI agents, RAG pipelines, and secure database connectivity.

Key Responsibilities

AI & Agentic Workflow Integration

• Set up and manage local LLMs using Compass AI.
• Design, implement, and maintain Retrieval-Augmented Generation (RAG) pipelines.
• Orchestrate multi-agent systems using GenAI Studio and ensure seamless communication between agents via MCP (multi-channel processing) server.
• Customise and optimize prompts for AI tasks and maintain prompt libraries.
• Build agent workflows to support use cases such as chatbots, reporting, process automation, etc.

Backend & API Development

• Develop and maintain backend systems using .NET Web Forms, .NET Core, and Python.
• Build RESTful APIs for AI agent integration with enterprise systems (ERP, SIS, dashboards, etc.).
• Ensure secure database connectivity (SQL Server, PostgreSQL, etc.) and manage data flow to/from AI layers.

AI Infrastructure & DevOps

• Configure scalable, low-latency access to models and ensure data security.
• Maintain and monitor AI infrastructure for performance, scalability, and error handling.

Security & Governance

• Implement secure integration mechanisms
• Ensure AI components adhere to enterprise security policies and data privacy standards.
• Document all workflows, configurations, and system dependencies.

Required Skills & Qualifications

Technical Skills

• Proficiency in .NET Web Forms, .NET Core, and Python (3.x).
• Experience in AI/ML model integration, especially with local LLMs and vector databases.
• Develop and maintain MCP (Multi-Channel Processing) server to manage and route tasks across multiple AI agents and service endpoints.
• Strong knowledge of RAG architecture, LangChain or equivalent.
• Hands-on experience with API development, microservices
• Solid understanding of SQL Server Database

Soft Skills

• Excellent problem-solving skills and ability to work autonomously.
• Strong communication and documentation capabilities.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, or related field.
• Familiarity with tools like Postman, Git, CI/CD pipelines, and logging/monitoring solutions .