We are seeking a skilled AI Engineer to design, develop, and integrate AI-powered features into the company’s digital products. The role focuses on turning business needs into AIdriven functionalities and ensuring scalable, secure, and high-quality AI implementations.
Key Responsibilities
1. AI Feature Development
- Identify opportunities to integrate AI/ML into digital products (recommendation engines, automation, NLP, predictive analytics, chatbots, etc.).
- Build and deploy machine learning models using modern frameworks (TensorFlow, PyTorch, Scikit-learn).
- Develop AI microservices/APIs to integrate with existing systems.
2. Product Integration
- Work closely with product managers, designers, and developers to translate features into technical AI solutions.
- Optimize AI model performance, user experience, and cost efficiency.
- Ensure seamless integration into web/mobile/cloud platforms.
3. Data Engineering & Preparation
- Work with teams to clean, structure, and prepare datasets.
- Build data pipelines for training, testing, and monitoring AI models.
- Ensure data quality, privacy, and governance compliance.
4. AI Strategy & Innovation
- Advise leadership on AI opportunities and emerging technologies.
- Build prototypes, POCs, and MVPs for new AI features.
- Introduce best practices for model lifecycle management (MLOps).
5. Quality, Security, and Compliance
- Ensure AI models meet accuracy, fairness, explainability, and security requirements.
- Implement monitoring and retraining mechanisms for AI models
- Document technical solutions, workflows, and architecture
Requirements:
Technical
o Strong experience in machine learning, deep learning, and NLP.
o Hands-on coding experience in Python (Pandas, NumPy, ML libraries).
o Experience with cloud platforms (Azure AI, AWS AI, or Google AI).
o Experience with REST APIs and microservices.
o Familiarity with MLOps, CI/CD pipelines.
o Strong communication and ability to explain complex AI topics.
o Product mindset (thinking about user value, not just technology).
o Problem-solving and analytical skills.
o Ability to work cross-functionally with product, design, engineering, and business teams.
Preferred Qualifications
- Experience integrating AI into enterprise-grade products.
- Familiarity with LLMs (ChatGPT, Llama models) and prompt engineering.
- Experience in vector databases, embeddings, or RAG implementations.
- Deep Knowledge of data privacy and regulations in Saudi Arabia.