Design and implement stateful, multi-agent systems using LangGraph and LlamaIndex to handle complex decision-making. Integrate n8n and FastAPI to bridge the gap between AI reasoning and real-world execution. Implement rigorous observability and regression testing using Langfuse and Promptfoo.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
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 stakeholders with vast FAANG experience in the Bay Area.
Comp:
USD 150k-USD 180k per year (tax-free)
Looking to advance your Development & Programming career with relocation support? Explore Development & Programming Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.
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
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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)
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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.
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