AI Systems Integration Engineer

Job Title: AI Systems Integration Engineer

Location: Abu Dhabi, UAE (Onsite)

Type: Full-time

Experience Level: 5+ years

Role Overview

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 operationalisation 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

• Implementation of AI use case using Local LLM subscription.
• Design, implement, and maintain Retrieval-Augmented Generation (RAG) pipelines.
• Orchestrate multi-agent systems and ensure seamless communication between agents via MCP (multi-channel processing) server.
• Customise and optimise 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
• Hands on experience to Manage and implement Agentic worlflow
• 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 .

Nice to Have

• Experience integrating with IBM Cognos, Power BI, or other BI tools.
• Exposure to AI model fine-tuning or prompt chaining.

Please note that only immediate joiners are preferred .

Due to the high volume of applications, only shortlisted candidates will be contacted .