Senior Agentic AI Engineer - Relocation to Riyadh 🇸🇦
Role summary
A leading regional startup in industrial supply chains and B2B financing seeks a Senior Agentic AI Engineer to relocate to Riyadh. This foundational role involves building production-grade, stateful agentic architectures using LLM orchestration and robust backend engineering. You will design multi-agent systems, integrate AI reasoning with real-world execution, and implement rigorous testing and observability. The position offers a tax-free income, relocation support, and the opportunity to work with experienced professionals in a transformative industry.
Senior Agentic AI Engineer - Relocation to Riyadh (tax-free income) 🇸🇦
We are working with a leading regional start-up transforming the intersection of
industrial supply chains and B2B financing
. Our client is embedding autonomous agents into the core of global trade, procurement, and credit operations.
We are looking for a Senior AI Engineer to move beyond simple prompting and build production-grade, stateful agentic architectures that solve complex, multi-step business logic.
This is a foundational role for an engineer who thrives at the intersection of LLM orchestration and robust backend engineering, working with s
takeholders with vast FAANG experience in the Bay Area
.
Comp:
USD 150k-USD 180k per year (tax-free)
Educational allowance (circa USD 20k per child)
Housing allowance (circa USD 20k)
Premium residency in Saudi Arabia
ESOPs
Relocation support + premium medical insurance for you and dependants
What You’ll Build
- Design stateful, multi-agent systems using LangGraph and LlamaIndex to handle complex decision-making
- Build deterministic tool-calling patterns, human-in-the-loop gates, and advanced RAG pipelines over massive structured/unstructured dataset
- Integrate n8n and FastAPI to bridge the gap between AI reasoning and real-world execution (webhooks, ERP integrations, and scheduled triggers)
- Implement rigorous observability and regression testing using Langfuse and Promptfoo to ensure our agents are safe, fast, and cost-effective
- Deploy and manage services via Docker, utilising Redis for high-performance queuing and caching
What You Bring:
- You write clean, testable code and are an expert in FastAPI
- You have shipped LLM-based products using LangGraph, LangChain, or equivalent frameworks
- Experience with vector databases (pgvector), complex SQL, and data chunking strategies for RAG.
- Comfortable with Docker, asynchronous workflows, and building for 99.9% reliability
- You don't consider a feature "done" until it has traces, logs, and a repeatable evaluation harness
- Experience serving open-weight models (vLLM / Ollama)
What You'll Ship in Your First Month
- An Automated Procurement Agent that analyzes RFQs, normalizes technical specifications, and drafts vendor communications for human approval
- A Credit Intelligence Engine that parses complex financial documents to flag risks and generate underwriting summaries autonomously
- A Production-Grade Eval Suite to measure LLM performance against cost and latency benchmarks before any code hits production
Relocation to Riyadh is a must. Interested? Apply today.