AI Engineer
Al-Watania Information Systems • Saudi Arabia
No Relocation
Posted: March 25, 2026
Job Description
We are looking for an AI Developer with hands-on experience in building and deploying AI/ML solutions and LLM-based applications. The role includes working across the full development lifecycle, from data preparation and model development to deployment, testing, and monitoring.
Key Responsibilities
- Build AI/ML solutions for use cases such as classification, regression, forecasting, NLP, and computer vision
- Train and fine-tune deep learning models using PyTorch or TensorFlow
- Develop LLM-powered applications using OpenAI, Claude, or Groq
- Build solutions such as RAG, Q&A systems, summarization tools, and AI assistants
- Prepare, clean, and validate datasets from SQL and files
- Evaluate models and AI pipelines using appropriate metrics and testing methods
- Deploy AI services through APIs, containerize with Docker, and support CI/CD
- Maintain technical documentation and follow security best practices
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 2–4 years of experience in AI/ML development
- Strong Python programming skills
- Hands-on experience with PyTorch and/or TensorFlow.
- Good understanding of machine learning and deep learning fundamentals.
- Experience working with LLMs and RAG pipelines.
- Knowledge of SQL, Pandas, NumPy, REST APIs, and Docker.
Additional Content
We are looking for an AI Developer with hands-on experience in building and deploying AI/ML solutions and LLM-based applications. The role includes working across the full development lifecycle, from data preparation and model development to deployment, testing, and monitoring.
Key Responsibilities
- Build AI/ML solutions for use cases such as classification, regression, forecasting, NLP, and computer vision
- Train and fine-tune deep learning models using PyTorch or TensorFlow
- Develop LLM-powered applications using OpenAI, Claude, or Groq
- Build solutions such as RAG, Q&A systems, summarization tools, and AI assistants
- Prepare, clean, and validate datasets from SQL and files
- Evaluate models and AI pipelines using appropriate metrics and testing methods
- Deploy AI services through APIs, containerize with Docker, and support CI/CD
- Maintain technical documentation and follow security best practices
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 2–4 years of experience in AI/ML development
- Strong Python programming skills
- Hands-on experience with PyTorch and/or TensorFlow.
- Good understanding of machine learning and deep learning fundamentals.
- Experience working with LLMs and RAG pipelines.
- Knowledge of SQL, Pandas, NumPy, REST APIs, and Docker.