AI Systems Integration Engineer

Sundus; Abu Dhabi; On-site; AED 420,000 - 620,000; Full time

Job summary

Sundus in Abu Dhabi seeks an experienced AI Systems Integration Engineer to lead deployment, integration, and operationalisation of local LLMs using Compass AI and GenAI Studio. You will design and orchestrate AI agents, RAG pipelines, and secure data flows with enterprise-grade infrastructure.

The role emphasizes strong .NET Web Forms/Core and Python development, API delivery to ERP/SIS dashboards, and hands-on DevOps for scalable AI services, with a focus on security, governance, and

Qualifications

• Formal degree in CS/AI or related field is required or preferred.
• Strong background in .NET (Web Forms/Core) and Python development.
• Experience integrating AI models, especially local LLMs, and vector DBs.

Responsibilities

• Lead deployment and integration of local LLMs in enterprise infra.
• Design and maintain Retrieval-Augmented Generation (RAG) pipelines.
• Orchestrate multi-agent systems and MCP-based routing.
• Develop backends with .NET/Web Forms, .NET Core, and Python.
• Build RESTful APIs for AI agent integration with ERP/SIS/dashboards.

Skills

.NET Web Forms

.NET Core

Python

AI model integration

RAG architecture

APIs / Microservices

SQL Server

Vector databases

MCP server

LangChain

Education

Bachelor's or Master's degree in CS/AI

Tools

Postman

Git

CI/CD pipelines

Logging/Monitoring tools

Job description

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.