Full Stack Developer – AI / Agentic AI
Abu Dhabi, United Arab Emirates · Full Time
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- Experience
- 6+ yrs
- Salary
- AED 18,000 / month
- Openings
- 1
- Posted
- 5 天前
- Work mode
- In office
- Eligibility
- Applicants with practical and demonstrable project experience in full stack AI development, particularly with LLM-powered conversational applications and multi-agent systems. Candidates must have a valid passport and willingness to relocate to Abu Dhabi for onsite positions. Offshore applicants wil…
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- Required to apply
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Job description
About the Role
We are seeking an experienced Full Stack AI Engineer with expertise in developing production-level LLM-powered conversational applications. This position is located onsite in Abu Dhabi, United Arab Emirates, but offshore candidates will also be considered. The role demands practical experience spanning frontend and backend development, multi-agent communication protocols (MCP), agent orchestration, and real-time AI applications. A candidates' possession of a valid passport and willingness to relocate to Abu Dhabi are prerequisites for onsite hiring.
Key Responsibilities and Skills
- Develop and maintain frontend applications using Angular, incorporating RxJS for reactive programming and creating real-time conversational user interfaces with WebSocket streaming capabilities.
- Build backend services utilizing Python and FastAPI focusing on asynchronous processing, RESTful APIs, middleware development, and schema-driven API contracts.
- Integrate and manage LLMs in production environments, including tool invocation, structured output handling, MCP/FastMCP protocol implementations, and design multi-agent architectures with task decomposition and fallback mechanisms.
- Engage in prompt engineering and deploying strategies to manage model failures effectively.
- Utilize caching and session management using Redis, manage data storage with Cosmos DB or MongoDB, and handle vector databases such as Pinecone.
- Architect event-driven, distributed, high-concurrency, and scalable systems for AI workloads.
- Deploy and maintain applications on Microsoft Azure platforms using Azure AI Foundry or Azure OpenAI services; manage CI/CD pipelines with GitHub Actions or Azure DevOps; and implement monitoring, logging, and tracing for AI workflows.
Desired Experience
- Hands-on project involvement with Angular-based AI conversational interfaces.
- Implementation of streaming responses from LLMs using WebSockets.
- Development experience with MCP server or tools and LangGraph-based agent workflows.
- Multi-agent coordination with shared context maintenance and Redis-based session or conversation memory management.
- Deployment of enterprise-grade LLM applications focusing on latency, cost, and response quality optimizations.
Additional Requirements
Applicants should possess at least 6 years of relevant experience and demonstrate proficiency beyond basic chatbot development, data science, or traditional full stack roles. Candidates are requested to provide detailed information regarding their experience with MCP, LangGraph, and multi-agent systems in their application.
Application Details
Applicants must submit their updated resume including full name, contact information, current location, salary expectations, notice period, passport validity, and relocation willingness. Only candidates with appropriate and demonstrable experience will be considered.