Staff GenAI Engineer — Arabic-Speaking Agents & RAG

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

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.