Full Stack Developer – AI / Agentic AI

Radiansys Inc.; Abu Dhabi; On-site; AED 183,000 - 219,000; Full time

Job summary

Radiansys Inc. seeks a skilled Full Stack Developer specialized in AI and agentic systems in Abu Dhabi. You will build production-grade LLM-powered conversational applications spanning frontend, backend, and orchestration layers.

The role requires hands-on experience with MCP-based tools, LangChain/LangGraph, Redis-based memory, and scalable, low-latency deployments. Onsite work in UAE with offshore consideration; salary up to 18k AED/month.

Qualifications

• Hands-on experience building production-grade LLM-powered conversational applications.

Responsibilities

Skills

RxJS

Real-time UI

FastAPI

REST API

API contracts

Tool calling

LangChain

LangGraph

Agent orchestration

Prompt engineering

Redis

Vector DB

Pinecone

Event-driven

Distributed systems

CI/CD

GitHub Actions

Azure DevOps

Monitoring

Tools

Redis

Pinecone

LangGraph

LangChain

Job description

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

Please apply only when you have relevant hands-on project experience in the mandatory skills.

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