Full Stack Developer – AI / Agentic AI

We’re Hiring: Full Stack Developer – AI / Agentic AI

Offshore candidates may also be considered

Budget: Up to 18,000 AED per month

Valid passport and willingness to relocate are mandatory for onsite applicants

We are looking for a strong Full Stack AI Engineer with hands‑on experience building production‑grade LLM‑powered conversational applications.

This is not a regular Full Stack Developer or basic GenAI role. Candidates must have practical project experience across frontend, backend, MCP-based tools, agent orchestration and real‑time AI applications.

Frontend

• RxJS and reactive programming


• Real‑time conversational UI development


• FastAPI and asynchronous services


• REST API and middleware development


• API contracts and schema‑driven development

AI and Agentic Systems

• Tool calling and structured outputs


• LangChain and LangGraph


• Agent orchestration, task decomposition and fallback mechanisms


• Prompt engineering and model failure handling

Platform and Infrastructure

• Redis for caching, sessions and conversation memory


• Pinecone or another vector database


• Event‑driven and distributed systems


• High‑concurrency and scalable application design

Cloud and DevOps

• GitHub Actions or Azure DevOps CI/CD


• Pull requests, branching and deployment pipelines


• Monitoring, logging and tracing for AI workflows

Candidates should have worked on projects involving:

• Angular‑based AI chat or conversational interfaces


• MCP server or MCP tool development


• LangGraph‑based agent workflows


• Multi‑agent coordination and shared context


• Redis‑based session or conversation memory


• Production deployment of enterprise LLM applications


• Latency, cost and response‑quality optimization

Profiles with only basic chatbot, prompt engineering, RAG proof of concept, data science or traditional Full Stack experience will not be considered.

• Current and expected salary


• Willingness to relocate to Abu Dhabi


• Brief details of MCP, LangGraph and multi‑agent project experience