Arabic NLP Engineer — LLMs, RAG & Cloud AI Solutions

Devsinc; Riyadh; On-site; SAR 40,000 - 60,000; Full time

Benefits offered by this job

Medical Inpatient & Outpatient Facilities

Paid Overtime

Engaging Company Activities

Sports Allowance

Job summary

Devsinc is looking for an experienced NLP Engineer to develop and deploy intelligent AI solutions specifically for Arabic and multilingual applications. This role involves creating NLP systems for various applications including chatbots and document processing.

The ideal candidate will require a strong background in Arabic language solutions and experience with NLP techniques such as Named Entity Recognition, Sentiment Analysis, and Transformers, along with proficiency in Python. Benefits include medical facilities and paid overtime.

Qualifications

• 3-6 years of experience in NLP, Machine Learning, or AI Engineering.
• Hands-on experience developing production-grade NLP models.
• Strong understanding of scalable AI architectures.

Responsibilities

• Design, develop, and deploy intelligent AI solutions for Arabic applications.
• Build advanced NLP systems for chatbots and virtual assistants.
• Implement Retrieval-Augmented Generation (RAG) architectures.

Skills

Arabic language NLP solutions

Python

NLP/ML frameworks

Transformers and LLMs

Embedding and Vector Search

Tokenization

Text Classification

Named Entity Recognition (NER)

Sentiment Analysis

Text Summarization

Retrieval-Augmented Generation (RAG)

MLOps practices

Experience with Hugging Face

Experience with spaCy

Experience with FastAPI

Cloud deployments (AWS, Azure, GCP)

Education

Bachelor's or Master's degree in Computer Science

Master's degree in Artificial Intelligence

Master's degree in Data Science

Job description

Devsinc is looking for an experienced NLP Engineer to develop and deploy intelligent AI solutions specifically for Arabic and multilingual applications. This role involves creating NLP systems for various applications including chatbots and document processing.

The ideal candidate will require a strong background in Arabic language solutions and experience with NLP techniques such as Named Entity Recognition, Sentiment Analysis, and Transformers, along with proficiency in Python. Benefits include medical facilities and paid overtime.