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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

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>
 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

MASTER-WORKS

<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>

TAWANTECH

<div>Job Summary: 
 
We are looking for a Machine Learning Engineer with 4+ years of experience in building, deploying, and optimizing ML models in software environments. The ideal candidate has strong Python skills and hands-on experience delivering production-ready ML solutions.
Key Responsibilities:<ul><li>
Develop, train, and deploy machine learning models.
</li><li>Build scalable data pipelines and integrate ML into applications.
</li><li>Perform data preprocessing, feature engineering, and model evaluation.
</li><li>Monitor model performance and implement improvements.
</li><li>Collaborate with engineering and product teams in agile environments.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, or related field.
</li><li>4+ years of ML experience in software/product companies.
</li><li>Strong Python skills and experience with TensorFlow, PyTorch, or Scikit-learn.
</li><li>Experience deploying models in production (cloud preferred: AWS/Azure/GCP).
</li><li>Good understanding of statistics, algorithms, and MLOps practices.</li></ul></div>

Machine Learner Engineer

<div>
 
 Job Summary:
 
 
 
 We are looking for a Machine Learning Engineer with 4+ years of experience in building, deploying, and optimizing ML models in software environments. The ideal candidate has strong Python skills and hands-on experience delivering production-ready ML solutions.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop, train, and deploy machine learning models.
 </li>
 <li>
 Build scalable data pipelines and integrate ML into applications.
 </li>
 <li>
 Perform data preprocessing, feature engineering, and model evaluation.
 </li>
 <li>
 Monitor model performance and implement improvements.
 </li>
 <li>
 Collaborate with engineering and product teams in agile environments
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's in Computer Science, AI, or related field.
 </li>
 <li>
 4+ years of ML experience in software/product companies.
 </li>
 <li>
 Strong Python skills and experience with TensorFlow, PyTorch, or Scikit-learn.
 </li>
 <li>
 Experience deploying models in production (cloud preferred: AWS/Azure/GCP).
 </li>
 <li>
 Good understanding of statistics, algorithms, and MLOps practices
 </li>
 </ul>
</div>

Perle

<div>
 
 About Perle
 
 
 
 Perle powers the most ambitious AI initiatives in the world with human intelligence at scale. We work with the world&rsquo;s leading model builders and enterprises to deliver expert-in-the-loop data, model evaluation, and trust systems that make AI safe, responsible, efficient and exceptionally high-performing.
 
 
 Our clients don&rsquo;t buy software, they buy outcomes: accuracy, reliability, and defensibility.
 
 
 We&rsquo;re an early-stage, founder-led company operating in the highest-stakes markets of AI. Every hire defines how we win.
 
 
 
 
 The Opportunity
 
 
 
 
 <ul>
 <li>
 We are looking for a PMC Piping Engineer experienced in detailed piping engineering and site execution support for large-scale Oil &amp; Gas projects. Candidate must have either US, UK or Australian citizenship. Relocation can be accommodated.
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review piping layouts, isometrics, stress analysis, and material specifications.
 </li>
 <li>
 Ensure compliance with ASME B31 codes, piping standards, and project specifications.
 </li>
 <li>
 Coordinate piping interfaces with mechanical, civil, and instrumentation disciplines.
 </li>
 <li>
 Resolve site queries, field changes, and constructability issues.
 </li>
 <li>
 Guide contractor piping engineers and designers.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 10+ years piping engineering experience.
 </li>
 <li>
 Strong knowledge of stress analysis and piping design codes.
 </li>
 <li>
 Minimum 5 years Oil &amp; Gas experience in GCC.
 </li>
 </ul>
</div>

PMC Piping Engineer (Detailed Engineering & Execution)

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348 ai engineer jobs In Riyadh Saudi Arabia

AI Engineer

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LLM engineer

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Machine Learner Engineer

PMC Piping Engineer (Detailed Engineering & Execution)