AI Engineer
Listed on 2026-09-24
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
We are looking for an experienced AI Engineer to join our Technology / AI & Data team in Riyadh. The successful candidate will design, build, integrate, and deploy reliable AI solutions that address real business challenges and deliver measurable value.
The role requires hands‑on experience in machine learning, generative AI, large language models, retrieval‑augmented generation, and production‑grade AI application development. You will work closely with software engineers, data engineers, data scientists, and business stakeholders to convert business requirements into scalable and secure AI products.
Arabic language proficiency is preferred, particularly for candidates who have experience developing Arabic‑language AI applications, conversational systems, or solutions for Arabic data and business environments.
AI EngineerLocation:
Riyadh, Saudi Arabia
Employment Type:
Full‑Time
Department:
Technology / AI & Data
Experience Level: Mid‑Level Experience
Required:
4-6 years
We are looking for an experienced AI Engineer to join our Technology / AI & Data team in Riyadh. The successful candidate will design, build, integrate, and deploy reliable AI solutions that address real business challenges and deliver measurable value.
The role requires hands‑on experience in machine learning, generative AI, large language models, retrieval‑augmented generation, and production‑grade AI application development. You will work closely with software engineers, data engineers, data scientists, and business stakeholders to convert business requirements into scalable and secure AI products.
Arabic language proficiency is preferred, particularly for candidates who have experience developing Arabic‑language AI applications, conversational systems, or solutions for Arabic data and business environments.
Key Responsibilities- Design, develop, test, and deploy machine learning and artificial intelligence solutions for enterprise use cases.
- Build generative AI applications using large language models and modern AI platforms.
- Develop retrieval‑augmented generation solutions using enterprise data, knowledge bases, embeddings, and vector search.
- Build AI‑powered assistants, chatbots, recommendation systems, and intelligent agents.
- Integrate AI models and services with enterprise applications through REST APIs and other integration methods.
- Prepare, clean, transform, and analyze structured and unstructured data for AI applications.
- Develop prompt strategies, evaluation processes, retrieval pipelines, and model‑usage patterns that improve accuracy and reliability.
- Work with embeddings, vector databases, semantic search, and knowledge retrieval technologies.
- Evaluate AI solutions for quality, relevance, performance, security, scalability, and cost efficiency.
- Fine‑tune or customize machine learning and language models when required.
- Build proofs of concept and convert successful prototypes into production‑ready services.
- Develop reusable APIs, services, and components that enable AI capabilities across the organization.
- Monitor deployed AI applications and continuously improve their performance and reliability.
- Apply responsible AI practices related to data privacy, security, governance, explainability, and access control.
- Stay current with developments in generative AI, machine learning, AI engineering frameworks, and cloud technologies.
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related field.
- 4-6 years of professional hands‑on experience in AI engineering, machine learning engineering, data science, software engineering with an AI focus, or a related technical discipline.
- Strong programming skills in Python.
- Pra…
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