AI Engineer; Arabic Language Expertise

Job Overview

We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech‑to‑Text technologies. As part of our dynamic team, you will develop, implement, and optimize cutting‑edge AI solutions to improve our products and services. Your work will focus on leveraging language models, building NLP systems, and integrating speech‑to‑text technologies for seamless communication and enhanced user experiences.

Experience: 8+ years

Location: Riyadh, KSA (5 Days work from office)

Working Days: Sunday to Thursday

Language requirement: Must be fluent in Arabic

• LLM Development & Integration
  • Fine‑tune and deploy large language models for specific applications, such as chatbots, content generation, and customer support
  • Evaluate and improve the performance of LLMs in real‑world scenarios
• NLP System Design
  • Design and implement NLP algorithms for tasks like text classification, sentiment analysis, entity recognition, and summarization
  • Work with large datasets to train and validate NLP models
  • Collaborate with cross‑functional teams to identify and address language‑based challenges
• Speech‑to‑Text Implementation
  • Develop and optimize speech‑to‑text pipelines for various languages and dialects
  • Integrate speech recognition systems with NLP and LLM solutions for end‑to‑end functionality
  • Stay updated on the latest advancements in automatic speech recognition (ASR)
• Performance Optimization
  • Enhance AI model efficiency for scalability and real‑time processing
  • Address biases, improve accuracy, and ensure robustness in all models
• Research and Innovation
  • Stay abreast of the latest research in LLM, NLP, and speech technologies
  • Experiment with emerging techniques and integrate them into company solutions
• Documentation and Collaboration
  • Maintain comprehensive documentation for models, processes, and systems
  • Collaborate with product managers, software engineers, and other stakeholders

• Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• Proven experience in LLM development (e.g., OpenAI, GPT, or similar frameworks)
• Strong understanding of NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face)
• Hands‑on experience with speech‑to‑text systems like Google Speech API, Whisper, or similar technologies
• Proficiency in programming languages such as Python, along with frameworks like Tensor Flow or Py Torch
• Strong problem‑solving skills, a collaborative mindset, and the ability to manage multiple projects simultaneously