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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>

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>

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

Nameless Ventures

<div>
 
 🚀 Senior Product Manager (Remote)
 
 
 
 
 
 We've partnered with a high-growth, venture-backed SaaS startup in the digital infrastructure space to hire one of their very first PM's.
 
 
 
 
 
 The company operates in a rapidly expanding market, serving thousands of users who rely on its platform to manage critical business agreements securely and efficiently. With strong traction and major funding momentum, the team is entering its next phase of scale. They&rsquo;re looking for a Senior Product Manager to own the strategy, roadmap, and execution of the company&rsquo;s AI platform - the core layer powering intelligent features across its products.
 
 
 
 
 
 
 🔎 What You'll Bring:
 
 
 <ul>
 <li>
 Fluency in Arabic and English
 </li>
 <li>
 Strong experience in B2B SaaS product management
 </li>
 <li>
 Hands-on exposure to AI / LLM technologies
 </li>
 <li>
 Computer Science degree or solid technical background is a huge plus.
 </li>
 </ul>
 
 
 
 
 💡 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Define and drive the AI platform vision and roadmap
 </li>
 <li>
 Lead AI/LLM integrations and platform capabilities
 </li>
 <li>
 Build scalable AI foundations that power multiple product lines
 </li>
 <li>
 Partner cross-functionally to ship high-impact features
 </li>
 </ul>
 
 
 
 
 
 🌍 What&rsquo;s Offered:
 
 
 <ul>
 <li>
 Fully remote role
 </li>
 <li>
 $2,500&ndash;$4,500 per month (depending on experience)
 </li>
 <li>
 Equity/stock options
 </li>
 <li>
 High ownership in a fast-scaling, investor-backed company
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re excited about building AI-powered infrastructure at scale in a high-growth environment, we&rsquo;d love to connect.
 
</div>

Product Manager

McKinsey & Company

<div><div><div>Job ID: 106293
<div><div><li>Riyadh</li></div></div><div> 
</div></div><div> 
 
<div>Do you want to work on complex and pressing challenges&mdash;the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you&rsquo;ve come to the right place.
</div></div><div><div>YOUR IMPACT
<div>As a Data Scientist Intern, you will be part of interdisciplinary teams during an end-of-year internship of 12 weeks, developing analytics solutions that help solve clients&rsquo; most pressing business challenges.
Working closely with experienced Data Scientists, Data Engineers, and Machine Learning Engineers, you will support project teams by conducting exploratory data analyses, building and validating simple models, implementing LLM use cases, helping clients to adopt GenAI, and developing RAG systems and visualizations that help uncover insights from complex datasets.
You&rsquo;ll gain hands-on experience applying analytical thinking to real-world business contexts, learning how data-driven insights can transform organizations. Through mentorship and structured feedback, you will deepen your understanding of how to translate business problems into technical tasks, and how analytical solutions create measurable client impact.
You&rsquo;ll also contribute to the team&rsquo;s internal knowledge base and tool development, learning how McKinsey and QuantumBlack, AI by McKinsey approach data science at scale.</div>
</div></div><div><div>YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
When you join us, you will have:<div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div>
</div></div><div><div>YOUR QUALIFICATIONS AND SKILLS
<div><div><div><ul><li>Recent graduates or final-year students from data science, mathematics, statistics, physics or engineering disciplines with expertise in computer science, data, machine learning, or artificial intelligence</li><li>
Availability for a full-time internship of 12 weeks</li><li>
Strong interest in applying machine learning and statistical analysis to solve real-world problems</li><li>
Foundational experience in Python (preferred) or R for data analysis and model prototyping</li><li>
Experience through coursework or projects in building Retrieval-Augmented Generation (RAG) systems or implementing Large Language Model (LLM) use cases is a strong plus</li><li>
Basic understanding of data wrangling, visualization, and exploratory analysis</li><li>
Familiarity with libraries such as pandas, NumPy, scikit-learn, or equivalent</li><li>
Good analytical and problem-solving skills; ability to structure tasks and manage time effectively</li></ul></div></div></div></div></div></div></div>

Data Scientist Intern - QuantumBlack, AI by McKinsey

Lucidya | لوسيديا

<div>
 Establishing the company's first dedicated Legal &amp; Compliance function. The successful candidate will build the Unit from the ground up, hiring and leading a team of specialists while establishing the governance frameworks, processes, and capabilities needed to support Lucidya's geographic expansion and enterprise growth ambitions.
 
 
 This role will provide strategic leadership and unification of Legal, Privacy, and GRC functions; serve as the principal advisor to the CEO on legal, regulatory, and compliance risk. Ensure Lucidya operates in full adherence to legal, regulatory, security, and contractual obligations while enabling growth, shortening enterprise sales cycles, and reducing organizational risk.
 
 
 Unit Leadership &amp; Strategy
 
 
 <ul>
 <li>
 Build and lead the Legal &amp; Compliance unit, including the underlying functions
 </li>
 <li>
 Define and execute the Unit's strategy aligned with Lucidya's objective
 </li>
 <li>
 Establish operating cadence, governance forums, and reporting mechanisms
 </li>
 <li>
 Drive process excellence within Unit operations (contract turnaround, DDQ responses, policy management)
 
 
 </li>
 </ul>
 Legal &amp; Corporate Governance
 
 
 <ul>
 <li>
 Oversee all commercial contracting, ensuring appropriate risk allocation and legal protection
 </li>
 <li>
 Approve contract playbooks, standard terms, and negotiation fallback positions
 </li>
 <li>
 Sign material contracts, regulatory submissions, and formal legal correspondence
 </li>
 <li>
 Oversee corporate governance including board materials, shareholder matters, and corporate records
 </li>
 <li>
 Manage external counsel relationships for litigation, specialized matters, and regional expertise
 
 
 </li>
 </ul>
 Compliance &amp; Risk Management
 
 
 <ul>
 <li>
 Own company-wide compliance posture across legal, privacy, and regulatory domains
 </li>
 <li>
 Accept, mitigate, or escalate enterprise risks per the risk appetite framework
 </li>
 <li>
 Chair the Risk &amp; Compliance Committee; present quarterly updates to Executive team
 </li>
 <li>
 Oversee regulatory mapping and compliance frameworks
 </li>
 <li>
 Ensure audit readiness and manage certification programs
 </li>
 <li>
 Oversee BCP / Disaster Recovery governance (framework, BIA, testing coordination)
 </li>
 <li>
 Provide oversight of the Data Privacy Office and ensure regulatory compliance
 </li>
 <li>
 Ensure privacy-by-design principles are embedded across operations
 </li>
 <li>
 Oversee data governance, classification, and retention programs
 
 
 </li>
 </ul>
 Geographic Expansion
 
 
 <ul>
 <li>
 Lead legal &amp; compliance readiness for market entry into new jurisdictions (UAE, GCC, etc)
 </li>
 <li>
 Oversee entity formation, corporate structuring, and local compliance requirements
 </li>
 <li>
 Engage and manage local external counsel in new markets
 </li>
 <li>
 Adapt contract playbooks and compliance artifacts for regional requirements
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Law degree (LLB, JD, or equivalent) from a recognized institution
 </li>
 <li>
 Advanced degree (LLM, MBA) preferred but not required
 </li>
 <li>
 10+ years of legal experience, with at least 5 years in a senior leadership role
 </li>
 <li>
 Demonstrated experience in technology/SaaS industry strongly preferred
 </li>
 <li>
 Experience building and leading legal/compliance teams (ideally from inception)
 </li>
 <li>
 Track record of multi-jurisdictional operations
 </li>
 <li>
 Familiarity with GCC regulatory environment; MENA experience highly valued
 </li>
 <li>
 Strong knowledge of Saudi commercial law, corporate law, and regulatory landscape
 </li>
 <li>
 Knowledge and understanding of data and security laws
 </li>
 <li>
 Knowledge of corporate governance best practices
 </li>
 <li>
 Familiarity with enterprise risk management and GRC frameworks
 </li>
 </ul>
</div>

Head of Legal and Compliance

تل العمارة للمقاولات

إعلان توظيف &ndash; مشروع إعادة تأهيل مستشفى بالرياضتعلن شركة تل العمارة للمقاولات عن حاجتها للتعيين الفوري للكوادر التالية للعمل في مشروع إعادة تأهيل مستشفى بمدينة الرياض:1- مهندس كهرباء (Low Current)- خبرة لا تقل عن 5 سنوات- خبرة في الأنظمة التالية:BMS &ndash; KNX &ndash; PAVA &ndash; Fire Alarm &ndash; ECBS2- مهندس ميكانيكا- خبرة في أعمال:أنظمة السباكة &ndash; الصرف &ndash; مكافحة الحريق &ndash; أنظمة الدكت (HVAC)3- مهندس سلامة (Safety Engineer)- حاصل على شهادات السلامة المعتمدة- خبرة في المشاريع الكبرى (يفضل مشاريع المستشفيات)4- مهندس معماري- خبرة في أعمال التنسيق (Coordination)- خبرة في مشاريع إعادة التأهيل والـ Fit-out5-مهندس جودة.موقع العمل: الرياضيرجى إرسال السيرة الذاتية مع كتابة المسمى الوظيفي في عنوان الرسالة.Job Opportunity &ndash; Hospital Rehabilitation Project (Riyadh)TAL ALAMARA contracting company is hiring for a Hospital Rehabilitation Project in Riyadh. The following positions are required:1- Electrical Engineer (Low Current)- Minimum 5 years of experience- Experience in the following systems:BMS &ndash; KNX &ndash; PAVA &ndash; Fire Alarm &ndash; ECBS2- Mechanical Engineer- Experience in:Plumbing, Drainage, Fire Fighting, and HVAC/Duct works3- Safety Engineer- Certified in recognized safety qualifications- Experience in large-scale projects (Hospital experience is preferred)4- Architectural Engineer- Experience in coordination works- Experience in rehabilitation / renovation / fit-out projects5-Quality EngineerLocation: RiyadhPlease send your CV mentioning the position title in the email subject.نوع الوظيفة: دوام كامل

مهندس

Explore 228+ Llm engineer in Riyadh Saudi Arabia this March. Find roles across top companies and apply now to boost your career.

228 llm engineer jobs In Riyadh Saudi Arabia

LLM engineer

LLM engineer

AI Engineer

Product Manager

Data Scientist Intern - QuantumBlack, AI by McKinsey

Head of Legal and Compliance

مهندس