Staff Gen AI Engineer - (Arabic Speaking)

UMATR; Jeddah; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading commerce AI firm in Saudi Arabia is seeking a Staff GenAI Engineer to architect and implement LLM-based systems. In this role, you will develop RAG pipelines, evaluate LLM performance, and collaborate with product teams. Candidates should have 5+ years in applied ML/NLP, strong communication skills, and experience in e-commerce dynamics. The position offers competitive compensation and opportunities for career growth in a fast-paced environment supporting Arabic and English.

Benefits

High autonomy and ownership

Strong compensation

Regional relocation support

Qualifications

• 5+ years of experience in applied ML/NLP, including 2+ years in LLM-based systems.
• Proven impact with LLM products serving 100K+ users or handling 1M+ queries.
• Experience with vector search and latency-sensitive workloads.

Responsibilities

• Architect and implement LLM-based agentic systems.
• Build RAG pipelines combining structured and unstructured sources.
• Develop evaluation frameworks to measure LLM performance.

Skills

Applied ML/NLP

Transformer architectures

RAG design and optimization

Prompt engineering

LLM evaluation techniques

Distributed systems

E-commerce metrics

Communication

Education

Bachelor's or Master's degree in Computer Science, Data Science, or a quantitative discipline

Job description

Title: Staff GenAI Engineer - Agents, RAG (Arabic Speaking)

Tech Stack:

Python | Transformers | RAG | Vector Search | LoRA/PEFT | LLM Orchestration | Cloud ML Deployment | LLM Evaluation | Distributed/Low-Latency Design

What You’ll Do:

• Architect and implement LLM-based agentic systems including the customer support troubleshooting, analytics, and content-generation tools
• Build RAG pipelines combining structured and unstructured sources (knowledge base, FAQs, policies), optimizing for latency, factuality, and grounding
• Develop evaluation frameworks (LLM-as-a-judge, human-in-the-loop) to measure helpfulness, factual accuracy, coverage, and coherence
• Collaborate with product and UX teams to define prompt hierarchies, tool-calling logic, and conversational workflows that handle multi-turn reasoning
• Drive fine‑tuning or parameter‑efficient adaptation (LoRA, PEFT) of LLMs for commerce‑specific reasoning and multilingual support (Arabic & English)
• Contribute to the GenAI Suite: product description generation, email and blog content creation, landing page design, and brand‑aware tone control
• Lead experimentation on new LLM orchestration frameworks (LangGraph, semantic routers) and scalable deployment using Bedrock, SageMaker, or Vertex AI
• Mentor junior data scientists and define best practices for versioning, prompt evaluation, and observability (e.g., LangFuse, MLflow, Grafana)

Who They Are:

• This company is building the future of commerce AI in the Middle East, powering millions of merchants with intelligent assistants and Gen AI that understands Arabic and English fluently. As our Senior/Staff GenAI, you'll architect the brain behind our merchant and customer AI assistants, content generation suite, and conversational commerce platform. This isn't just another chatbot role, you'll design cutting‑edge agentic AI systems that can reason about inventory, write compelling Arabic marketing copy, troubleshoot merchant issues, and generate insights from millions of transactions. Your work will directly impact how merchants across the region run their businesses.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or a quantitative discipline
• 5+ years of experience in applied ML/NLP, including 2+ years building and deploying LLM-based systems in production
• Proven impact: Delivered or scaled LLM products serving 100K+ users or handling 1M+ queries per day
• Technical depth: Solid understanding of transformer architectures, RAG design and optimization, prompt engineering, and LLM evaluation techniques
• Systems thinking: Experience with distributed systems, async workflows, vector search, and caching strategies for latency‑sensitive workloads
• Commerce awareness: Familiarity with e‑commerce metrics, merchant pain points, and marketplace platform dynamics
• Communication: Comfortable translating complex ML systems into actionable insights for non‑technical and leadership stakeholders
• Marketplace / SaaS platform experience

Benefits:

• High autonomy and ownership, real user impact at scale, fast career path into senior staff/principal, access to cutting‑edge GenAI infra, strong compensation, and regional relocation support.
• Competitive salary/package