AI Systems Integration Engineer

Job Title: AI Systems Integration Engineer

Location: Abu Dhabi, UAE (Onsite) Type: Full-time Experience Level: 5+ yearsRole OverviewWe 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 IntegrationImplementation 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 DevelopmentDevelop 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 & DevOpsConfigure scalable, low-latency access to models and ensure data security.Maintain and monitor AI infrastructure for performance, scalability, and error handling. Security & GovernanceImplement 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 SkillsProficiency 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, microservicesHands on experience to Manage and implement Agentic worlflowSolid understanding of SQL Server Database Soft SkillsExcellent problem-solving skills and ability to work autonomously.Strong communication and documentation capabilities.Preferred QualificationsBachelor’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 HaveExperience 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.