Full Stack Developer (AI)

ConnexR Solutions Pvt Ltd

Riyadh

On-site

SAR 260,000 - 420,000

Full time

14 days+

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Job summary

ConnexR Solutions Pvt Ltd in Riyadh is seeking an experienced full-stack developer with AI expertise to lead and deliver LLM-driven enterprise applications in production. This role focuses on building MCP tools with Python and FastAPI, creating Angular-based conversational UIs, and implementing multi-agent orchestration with LangChain and related platforms.

You'll optimize latency, cost, and quality while ensuring robust monitoring, caching with Redis, and support for high concurrency in a

Qualifications

  • 6+ years in full stack development with AI expertise.
  • Immediate to 30 days notice period.
  • Full-time employment.

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.

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
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