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The Management Recruitment Group (MRG)

<div>
 
 A leading real estate development platform in Saudi Arabia is seeking to appoint an AI Engineer to build and lead its internal AI capability, supporting smarter decision-making and automation across commercial, retail, residential, and property management portfolios.
 
 
 
 
 
 
 The Company
 
 
 
 Our client is a forward-thinking real estate platform operating across multiple asset classes in the Kingdom. As the business scales, it is investing in building robust internal AI infrastructure to enhance operational efficiency, improve analytical workflows, and prepare for AI-driven transformation across departments.
 
 
 
 
 
 
 The Role
 
 
 
 Reporting to the CEO / Head of IT, the AI Engineer will be responsible for designing and implementing the company&rsquo;s core AI and data infrastructure.
 
 
 
 
 
 This is a hands-on, individual contributor role focused on shipping production-ready solutions and not research or experimentation. Working closely with a Head of IT and Business/AI Analyst, you will translate business use cases into practical AI systems that integrate internal data with frontier large language models.
 
 
 
 
 
 You will build modular, secure, and scalable systems that enable non-technical teams to leverage AI-powered insights in their daily operations.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and build central data infrastructure (e.g., ClickHouse, data lake, or equivalent) aggregating data from property management, leasing, finance, and operations systems.
 </li>
 <li>
 Integrate frontier LLMs (Claude, GPT-4, or equivalent) via API as the reasoning and analysis layer on top of internal datasets.
 </li>
 <li>
 Develop and maintain retrieval pipelines (RAG architecture) to intelligently select and manage context for LLM interactions.
 </li>
 <li>
 Build internal tools, dashboards, and interfaces enabling business users to interact with AI-driven analysis.
 </li>
 <li>
 Implement data security, access controls, and compliance protocols to safeguard sensitive real estate and tenant information.
 </li>
 <li>
 Architect modular systems where LLM providers, databases, and tools can be swapped as technology evolves.
 </li>
 <li>
 Monitor AI output quality and implement validation and feedback loops to mitigate hallucinations and inaccuracies.
 </li>
 <li>
 Document system architecture, processes, and dependencies thoroughly to minimise operational risk.
 </li>
 <li>
 Stay current with AI developments and proactively recommend relevant innovations to enhance operations.
 </li>
 </ul>
 
 
 
 
 
 Candidate Profile
 
 
 
 The successful candidate will have 3&ndash;5 years of software engineering experience and demonstrate:
 
 <ul>
 <li>
 Strong proficiency in Python.
 </li>
 <li>
 Hands-on experience integrating LLM APIs (Anthropic, OpenAI, or similar).
 </li>
 <li>
 Practical data engineering expertise, including ETL pipelines and SQL.
 </li>
 <li>
 Experience with analytical databases such as ClickHouse, PostgreSQL, BigQuery, Snowflake, or equivalent.
 </li>
 <li>
 Understanding of retrieval-augmented generation (RAG), vector databases, and context management strategies.
 </li>
 <li>
 Familiarity with orchestration frameworks (LangChain, LlamaIndex, or similar).
 </li>
 <li>
 Experience deploying and maintaining production services (Docker, cloud infrastructure, CI/CD basics).
 </li>
 <li>
 Strong communication skills with the ability to clearly explain technical constraints to non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Salary &amp; Benefits
 
 
 
 Competitive salary commensurate with experience, plus additional benefits as applicable.
 
 
 
 
 
 
 Location &amp; Working Pattern
 
 
 
 Based in Riyadh, Saudi Arabia with office based working.
 
 
 
 
 
 
 How to Apply
 
 
 
 For a confidential discussion, please contact Megan Jeffery at MRG on megan.jeffery@mrgglobal.com. Applications should consist of a CV (and covering letter if required).
 
</div>

AI Engineer

NXS Tech Ltd

<div>
 
 Our client who specialises in Voice AI platforms is looking for an AI Engineer to join their team in Riyadh.
 
 
 
 
 
 What You&rsquo;ll Do
 
 <ul>
 <li>
 Maintain and evolve complex open-source AI frameworks (e.g., LiveKit Agents, Pipecat, Agno, LangChain), including handling custom modifications across fast-moving releases.
 </li>
 <li>
 Design, write, and ship high-quality Python code that meets a high engineering bar.
 </li>
 </ul>
 
 
 
 
 What You Bring
 
 <ul>
 <li>
 Strong proficiency in Python and experience working in large, complex codebases.
 </li>
 <li>
 Familiarity with open-source frameworks&mdash;either contributing to them or maintaining internal forks/customizations.
 </li>
 <li>
 Arabic language ability (essential)
 </li>
 <li>
 Experience with AI/LLM frameworks (LiveKit Agents, Agno, LangChain, RAG pipelines, etc.).
 </li>
 </ul>
 
 
</div>

YO IT CONSULTING

<div><h2 class="jobSectionHeader">Role Overview</h2>
We are seeking a skilled AI Prompt Engineer to design, optimize, and evaluate prompts for large language models (LLMs) and generative AI systems. This role focuses on improving model performance, ensuring high-quality outputs, and aligning AI behavior with business objectives.
The ideal candidate understands how AI models interpret instructions and can craft structured prompts that generate accurate, relevant, and context-aware responses.
 <h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Design, test, and optimize prompts for LLMs and generative AI systems
</li><li>Develop structured prompt frameworks for various use cases (content generation, reasoning, summarization, code generation, etc.)
</li><li>Evaluate AI outputs for accuracy, relevance, tone, and alignment
</li><li>Refine prompts to reduce hallucinations and improve reliability
</li><li>Collaborate with engineering and product teams to improve AI workflows
</li><li>Create documentation and best practices for prompt engineering
</li><li>Analyze model behavior and implement iterative improvements
</li></ul><h2 class="jobSectionHeader">Required Qualifications</h2>
<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, Linguistics, or related field
</li><li>Strong understanding of Large Language Models (LLMs) and generative AI systems
</li><li>Experience working with AI tools such as GPT, Claude, Gemini, or similar
</li><li>Strong analytical and problem-solving skills
</li><li>Excellent written communication skills
</li><li>Ability to experiment and iterate on prompt structures
</li></ul><h2 class="jobSectionHeader">Preferred Qualifications</h2>
<ul><li>Experience with Python or scripting languages
</li><li>Familiarity with NLP concepts
</li><li>Experience in AI evaluation or model alignment
</li><li>Understanding of prompt chaining and system prompts
</li><li>Knowledge of AI safety and bias mitigation</li></ul></div>

Ai Prompt Engineer - Remote

Muller's Solutions

<div>M&uuml;ller&rsquo;s Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization. 
Key Responsibilities:<ul><li>
Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoML.</li><li>
Collaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirements.</li><li>
Conduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrity.</li><li>
Implement and optimize AI workflows that facilitate real-time data processing and inference.</li><li>
Stay updated on the latest advancements in AI and machine learning technologies to continuously improve our offerings.</li><li>
Provide technical guidance and support to teams on best practices for using Google Cloud AI services.</li><li>
Document AI project implementations, model performance evaluations, and ongoing maintenance procedures.</li><li>
Contribute to developing educational materials and training sessions on AI capabilities for staff and stakeholders.</li><li>
Monitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectiveness.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li>
<li>3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud Platform.</li>
<li>Proficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn).</li>
<li>Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoML.</li>
<li>Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.</li>
<li>Ability to work with large datasets, utilizing BigQuery or similar data processing tools.</li>
<li>Excellent problem-solving skills and a strong analytical mindset.</li>
<li>Capable of communicating complex technical concepts to diverse audiences effectively.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plus.</li>
<li>Experience with MLOps practices and tools for model deployment and management.</li>
<li>Familiarity with DevOps practices as they relate to AI and machine learning.</li>
<li>A background in statistics or applied mathematics is desirable.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Google Cloud AI Specialist

Master Works

<div>
 This is a highly skilled Machine Learning Engineer to design, build, deploy, and scale machine learning models that power data-driven products and intelligent systems. This role sits at the intersection of data science, software engineering, and MLOps, and requires strong hands-on experience turning models into production-ready solutions, programming experience in Python or R.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, train, and optimize machine learning models for real applications or use cases.
 </li>
 <li>
 Translate business and product requirements into scalable ML/AI solutions.
 </li>
 <li>
 Implement feature engineering, model selection, tuning, and evaluation techniques.
 </li>
 <li>
 Develop , and deploy ML models into production environments with high availability and performance.
 </li>
 <li>
 Build and maintain ML pipelines (training, validation, deployment, monitoring).
 </li>
 <li>
 Monitor model performance, data drift, and model decay; retrain models as needed.
 </li>
 <li>
 Ensure models meet reliability, scalability, and security standards.
 </li>
 <li>
 Work closely with Data Scientists, Product Managers, and Software Engineers.
 </li>
 <li>
 Collaborate with data engineering teams to ensure high-quality, reliable data pipelines.
 </li>
 <li>
 Participate in design and code reviews, ensuring engineering best practices.
 </li>
 <li>
 Optimize models for latency, throughput, and cost.
 </li>
 <li>
 Implement experimentation frameworks (A/B testing, offline evaluation).
 </li>
 <li>
 Apply responsible AI principles, including fairness, explainability, and governance where required
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3-7+ years of hands-on experience in Machine Learning or applied AI roles.
 </li>
 <li>
 Strong programming skills in Python (and/or Java, Scala).
 </li>
 <li>
 Solid understanding of ML algorithms (supervised, unsupervised, deep learning).
 </li>
 <li>
 Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn.
 </li>
 <li>
 Experience deploying models using Docker, Kubernetes, or cloud ML services.
 </li>
 <li>
 Strong knowledge of data structures, algorithms, and software engineering principles.
 </li>
 <li>
 Experience working in agile, cross-functional teams
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services.
 </li>
 <li>
 Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML).
 </li>
 <li>
 Experience with big data technologies (Spark, Kafka, Databricks).
 </li>
 <li>
 Background in NLP, Computer Vision, or Generative AI.
 </li>
 <li>
 Strong problem-solving and analytical thinking
 </li>
 <li>
 Production-first mindset
 </li>
 <li>
 Data-driven decision making
 </li>
 <li>
 High Collaboration and communication skills
 </li>
 </ul>
</div>

ML Engineer

MASTER-WORKS

<div>This is a highly skilled Machine Learning Engineer to design, build, deploy, and scale machine learning models that power data-driven products and intelligent systems. This role sits at the intersection of data science, software engineering, and MLOps, and requires strong hands-on experience turning models into production-ready solutions, programming experience in Python or R.
Key Responsibilities:
<ul><li>Design, develop, train, and optimize machine learning models for real applications or use cases.
</li><li>Translate business and product requirements into scalable ML/AI solutions.
</li><li>Implement feature engineering, model selection, tuning, and evaluation techniques.
</li><li>Develop , and deploy ML models into production environments with high availability and performance.
</li><li>Build and maintain ML pipelines (training, validation, deployment, monitoring).
</li><li>Monitor model performance, data drift, and model decay; retrain models as needed.
</li><li>Ensure models meet reliability, scalability, and security standards.
</li><li>Work closely with Data Scientists, Product Managers, and Software Engineers.
</li><li>Collaborate with data engineering teams to ensure high-quality, reliable data pipelines.
</li><li>Participate in design and code reviews, ensuring engineering best practices.
</li><li>Optimize models for latency, throughput, and cost.
</li><li>Implement experimentation frameworks (A/B testing, offline evaluation).
</li><li>Apply responsible AI principles, including fairness, explainability, and governance where required.</li></ul> 
Requirements 
<ul><li>
3&ndash;7+ years of hands-on experience in Machine Learning or applied AI roles.
</li><li>Strong programming skills in Python (and/or Java, Scala).
</li><li>Solid understanding of ML algorithms (supervised, unsupervised, deep learning).
</li><li>Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn.
</li><li>Experience deploying models using Docker, Kubernetes, or cloud ML services.
</li><li>Strong knowledge of data structures, algorithms, and software engineering principles.
</li><li>Experience working in agile, cross-functional teams.</li><li>
Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services.
</li><li>Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML).
</li><li>Experience with big data technologies (Spark, Kafka, Databricks).
</li><li>Background in NLP, Computer Vision, or Generative AI.
</li><li>Strong problem-solving and analytical thinking
</li><li>Production-first mindset
</li><li>Data-driven decision making
</li><li>High Collaboration and communication skills</li></ul></div>

<div>About the Role:
Master works is looking for an experienced LLM Engineer to join our team working on next-generation AI-driven analytics solutions. The ideal candidate will design and implement natural language search, semantic search solutions, and generative AI features for our web applications. You will work hands-on with advanced language models, vector databases, RAG pipelines, and build intelligent workflows to enable actionable insights from both structured and unstructured data.
Key Responsibilities:<ul><li>
Develop and maintain natural language search capabilities and semantic search solutions using vector databases.</li><li>
Implement NL-to-SQL pipelines and other intelligent query generation features for analytics platforms.</li><li>
Build and optimize Generative AI features (summarization, recommendations, insights) for analytics applications.</li><li>
Design and implement Agents and Workflows for complex tasks across datasets.</li><li>
Develop RAG (Retrieval-Augmented Generation) pipelines for knowledge retrieval and query resolution.</li><li>
Create embeddings for structured and unstructured data and leverage them for semantic understanding and search.</li><li>
Process and transform structured (tables, CSV, SQL) and unstructured data (text, documents, logs) as input/output for AI models.</li><li>
Collaborate with data engineers, analysts, and product teams to integrate AI features seamlessly into the platform.</li><li>
Evaluate, benchmark, and optimize LLM performance for real-world analytics use cases.
</li></ul>Required Qualifications &amp; Skills:<ul><li>
Bachelor's or master's degree in computer science, AI/ML, Data Science, or related field.</li><li>
Hands-on experience with LLMs (OpenAI, Anthropic, Cohere, or similar).</li><li>
Experience with vector databases such as Pinecone, Weaviate, Milvus, or FAISS.</li><li>
Strong understanding of embeddings, semantic search, and their practical applications.</li><li>
Expertise in RAG pipelines, Agents, and Workflow orchestration.</li><li>
Proficiency in Python and relevant AI/ML frameworks (LangChain, HuggingFace, PyTorch, TensorFlow).</li><li>
Familiarity with NL-to-SQL systems and natural language query processing.</li><li>
Experience working with structured and unstructured data sources.</li><li>
Knowledge of data pipelines, preprocessing, and storage formats for analytics.</li><li>
Ability to design scalable, production-ready AI solutions integrated with web applications.</li></ul>
Preferred Qualifications:<ul><li>
Experience working with AI based chatbots, Natural language search, NL to SQL.</li><li>
Knowledge of prompt engineering and fine-tuning LLMs.</li><li>
Familiarity with data privacy, security, and compliance considerations in AI pipelines.</li></ul>
Soft Skills:<ul><li>
Strong problem-solving and analytical skills.</li><li>
Excellent communication skills to work with cross-functional teams.</li><li>
Passion for AI and staying up to date with the latest developments in LLMs and generative AI.</li></ul></div>

LLM engineer

Explore 579+ Ai engineer in Saudi Arabia this March. Find roles across top companies and apply now to boost your career.

579 ai engineer jobs In Saudi Arabia

AI Engineer

AI Engineer

Ai Prompt Engineer - Remote

Google Cloud AI Specialist

ML Engineer

ML Engineer

LLM engineer