Full Stack Developer – AI / Generative AI (GenAI) Jobs in Abu Dhabi, UAE | Onsite

Location

Abu Dhabi, United Arab Emirates (Onsite)

Offshore candidates may also be considered.

Job Category

• Information Technology (IT) & Software

Job Overview

An exciting opportunity is available for an experienced Full Stack Developer - AI / Generative AI (GenAI) to join the development of an enterprise-grade, Large Language Model (LLM)-powered conversational platform in Abu Dhabi. This onsite role is ideal for professionals with strong full stack engineering expertise and hands-on experience building scalable AI applications using modern frontend, backend, cloud, and Generative AI technologies.

The successful candidate will contribute to designing, developing, and optimizing production-ready AI solutions, including conversational interfaces, multi-agent systems, and enterprise-scale AI services. This position offers outstanding career growth, professional development, and opportunities to expand expertise in cutting-edge technologies such as LLMs, LangChain, LangGraph, Model Context Protocol (MCP), Azure AI, and enterprise AI architecture.

Key Responsibilities

• Design, develop, and maintain enterprise-grade LLM-powered applications.
• Build responsive conversational user interfaces using Angular or React.
• Develop backend services using Python and FastAPI.
• Implement real-time AI interactions using WebSockets.
• Develop and maintain MCP (Model Context Protocol) tools and services.
• Design and implement multi-agent workflows with orchestration and fallback mechanisms.
• Integrate Large Language Models with structured outputs and tool-calling capabilities.
• Optimize response latency, token consumption, and AI response quality.
• Build highly scalable systems capable of handling high concurrency.
• Implement monitoring, logging, tracing, and performance optimization for AI workflows.
• Integrate vector databases and AI search solutions into enterprise applications.
• Collaborate with cross-functional teams throughout the Software Development Life Cycle (SDLC).

Requirements & Qualifications

Education

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

Experience

• Minimum 6+ years of professional Full Stack Development experience.
• Immediate to 30-day notice period preferred.
• Offshore candidates are welcome to apply.

Technical Skills

• Strong experience with Angular or React.
• TypeScript and RxJS.
• Python and FastAPI.
• Asynchronous service development.
• WebSockets and real-time communication.
• Large Language Model (LLM) integrations.
• Structured outputs and tool calling.
• MCP / FastMCP / Model Context Protocol.
• LangChain and LangGraph.
• Multi-agent architecture and orchestration.
• Redis for caching, session management, and conversation memory.
• MongoDB or Azure Cosmos DB.
• Experience with vector databases such as:
  • Pinecone
  • Azure AI Search
  • Qdrant
  • Similar vector database platforms
• Azure Cloud.
• Azure AI Foundry / Microsoft Foundry.
• GitHub, branching strategies, and CI/CD pipelines.

Preferred Experience

Experience developing:

• AI Assistants
• Enterprise Chatbots
• AI Copilots
• Retrieval-Augmented Generation (RAG) platforms
• MCP Servers
• LangGraph workflows
• Multi-agent AI applications

Professional Skills

• Excellent analytical and problem-solving abilities.
• Strong communication and collaboration skills.
• Ability to develop scalable enterprise applications.
• Commitment to continuous learning, certification, and professional development in AI technologies.

Salary, Benefits & Career Growth

Salary: Not disclosed by the employer.

Benefits

• Benefits will be discussed during the recruitment process.

Career Growth

• Work on enterprise-scale AI and Generative AI platforms.
• Gain hands-on experience with production-grade LLM applications.
• Expand expertise in Azure AI, LangChain, LangGraph, MCP, and modern AI architecture.
• Enhance technical leadership and cloud engineering capabilities.
• Continuous opportunities for professional development and advanced AI skill enhancement.