Senior Agentic AI Engineer

UMATR • United State
Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

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
Relocation to Riyadh required
USD 150k-USD 180k per year tax-free income
Senior AI Engineer role with a leading regional start-up
Key Responsibilities
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
Technical Skills Required
LangGraph LlamaIndex n8n FastAPI Langfuse Promptfoo Docker Redis vector databases complex SQL data chunking strategies RAG LLM-based products vector databases pgvector
Benefits & Perks
USD 150k-USD 180k per year tax-free income
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

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)

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.


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