Technical LLMS AI Engineer Lead

We are seeking a talented and motivated AI Engineer (Technical Lead) with deep expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies.
In this role, you will play a key part in building and optimizing advanced AI solutions to enhance our products and services.
You will lead the development and integration of intelligent systems that enable seamless human-computer interaction and drive innovation across teams.
Key Responsibilities: LLM Development & Integration: Fine-tune and deploy large language models for applications such as chatbots, content generation, and customer support.
Continuously evaluate and enhance the performance of LLMs in real-world environments.
NLP System Design: Design and implement NLP solutions for tasks including text classification, entity recognition, summarization, and sentiment analysis.
Work with large datasets to train, validate, and optimize NLP models.
Collaborate with cross-functional teams to identify and solve language processing challenges.
Speech-to-Text Implementation: Build and refine speech-to-text systems for diverse languages and dialects.
Integrate ASR (automatic speech recognition) systems with LLM and NLP pipelines for seamless end-to-end solutions.
Stay current with the latest developments in speech recognition technology.
Performance Optimization: Optimize model performance for scalability and low-latency applications.
Address model bias, improve accuracy, and ensure robustness in production environments.
Research & Innovation: Monitor emerging trends and advancements in LLMs, NLP, and speech technologies.
Experiment with and implement cutting-edge research in practical use cases.
Documentation & Collaboration: Maintain clear technical documentation for all AI systems, models, and workflows.
Work closely with software engineers, data scientists, and product teams to align AI solutions with business objectives.
Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Proven experience in LLM development using platforms like OpenAI (GPT) or similar.
Strong understanding of NLP techniques and hands-on experience with libraries such as spaCy, NLTK, or Hugging Face.
Solid experience with speech recognition technologies (e.
g., Google Speech API, Whisper, or similar tools).
Proficiency in Python, along with experience in TensorFlow, PyTorch, or similar frameworks.
Excellent problem-solving skills, collaborative approach, and ability to handle multiple projects simultaneously.
Fluent in Arabic – This role requires Arabic language skills.