Full Stack Developer (AI)

Connexr; Riyadh; On-site; SAR 300,000 - 520,000; Full time

Job summary

Connexr is seeking a senior full stack AI-focused engineer to build and maintain LLM-driven enterprise applications, designing MCP tools and Angular-based conversational UIs. You will implement multi-agent orchestration, optimize performance, and ensure robust AI workflows while managing Redis-based memory and caching in a high-concurrency setup.

Ideal candidates have 6+ years in full stack development with AI expertise, a strong focus on scalable architectures, and hands-on experience with

Qualifications

• 6+ years of full stack development with AI expertise.
• Immediate to 30 days notice period.
• Full-time, day shift.

Responsibilities

• Build and maintain LLM-driven enterprise applications in production.
• Design and develop MCP tools/services using Python, FastAPI.
• Develop Angular-based conversational UIs with real-time updates.
• Implement multi-agent orchestration and streaming AI responses.
• Optimize latency, cost, and response quality.
• Ensure monitoring, logging, and tracing for AI workflows.
• Manage Redis caching, session, and conversation memory.
• Design scalable architectures for high concurrency.
• Frontend: Angular / React, RxJS, WebSockets
• AI & Platform: LLM integrations, MCP/FastMCP, LangChain, LangGraph, multi-agent architectures

Skills

Full stack development

AI expertise

Frontend frameworks

Backend integration

Cloud & scalability

Tools

Python

FastAPI

Angular

React

RxJS

WebSockets

LangChain

LangGraph

Redis

Job description

Experience: 6+ years in full stack development with AI expertise

Notice Period: Immediate to 30 days

Shift: Day

Employment Type: Full-time

Key Responsibilities

• Build and maintain LLM-driven enterprise applications in production.
• Design and develop MCP tools/services using Python, FastAPI.
• Develop Angular-based conversational UIs with real-time updates.
• Implement multi-agent orchestration and streaming AI responses.
• Optimize latency, cost, and response quality.
• Ensure monitoring, logging, and tracing for AI workflows.
• Manage Redis caching, session, and conversation memory.
• Design scalable architectures for high concurrency.
• Frontend: Angular / React, RxJS, WebSockets
• AI & Platform: LLM integrations, MCP/FastMCP, LangChain, LangGraph, multi-agent architectures