Senior Agentic AI Engineer
Title: Agentic AI Engineer - Production AI Agent (Relocation to Saudi Arabia)
Tech Stack: Python, FastAPI, LangGraph, LangChain, LlamaIndex, Postgres, pgvector, Redis, n8n, Docker, Langfuse, Arize Phoenix, OpenTelemetry, Promptfoo, GPT-4o, Whisper, vLLM, Ollama
What You’ll Do:
You’ll be building production-grade agentic AI systems that sit inside real procurement, financing, and supply chain workflows. This is a hands-on engineering role where you will design, build, and ship AI agents that go beyond prototypes and operate in real enterprise environments.
You will:
- Build agentic workflows using LangGraph, LangChain, and LlamaIndex
- Develop FastAPI services powering agent execution and APIs
- Design and implement RAG systems across structured and unstructured data
- Automate operational workflows using n8n (integrations, approvals, scheduling)
- Build reliable tool-calling systems with retries, fallback logic, and human-in-the-loop controls
- Ensure performance and scalability using Redis, background jobs, and robust system design
- Implement observability and evaluation frameworks to monitor real-world agent performance
- Work across multimodal and speech-based systems where needed
Who They Are:
You’ll be joining a team building next-generation AI infrastructure for enterprise workflows in a highly complex, real-world industry.
The focus is on moving beyond AI experimentation into production systems that directly automate operational and commercial processes.
The environment is fast-moving, engineering-led, and focused on shipping real systems that have measurable business impact. You’ll be working closely with teams solving problems in procurement, finance, and supply chain operations at scale.
What Is In It For You:
- Tax free earnings
- Premium Residency
- SAR 70k Housing Allowance annually
- SAR 75k schooling allowance per kid upto 2 kids (annually)
- Full Medical insurance
- ESOPs (would need to confirm what they look like)
- Relocation Package (Flights/accommodation)
Who You Are:
We’re looking for a strong backend/AI engineer with production experience in LLM systems.
You should have:
- Strong Python engineering experience (FastAPI preferred)
- Hands-on experience building LLM agents and/or RAG systems in production
- Good understanding of Postgres and vector search (pgvector)
- Experience with Docker and production deployments
- Familiarity with Redis, queues, and async system design
- Experience with observability or evaluation tools for AI systems
- Ability to write clean, testable, production-ready code