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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>

Brainlake Advertising LLC

<div>Seeking a high-performing Prompt &amp; Agent Engineer (Senior Associate / Manager) to join a fast-paced engagement on-site in Doha, Qatar. This is a 3-month contract, extendable based on performance and project needs.
The primary purpose of the role is to rapidly design, build, and deploy AI agents and prompt-engineered solutions for different use cases. You will work hands-on with large language models &mdash; particularly Google Gemini &mdash; to develop production-ready agents that automate workflows, enhance citizen services, and drive operational efficiency across certain initiatives<ul>
<li>
Agent Development - Design, build, and deploy AI agents using Google Gemini and related frameworks to automate workflows and service delivery processes</li>
<li>Prompt Engineering - Craft, test, and optimize advanced prompts and prompt chains to maximize LLM output quality, accuracy, and reliability for production use cases
</li><li>Rapid Prototyping - Quickly build functional prototypes and MVPs of AI-powered tools, iterating fast based on stakeholder feedback and real-world testing</li>
<li>Integration and Orchestration - Connect AI agents with APIs, databases, and existing government systems using orchestration tools such as LangChain, Vertex AI Agent Builder, or similar frameworks</li>
<li>Evaluation and Testing - Develop evaluation benchmarks, test suites, and guardrails to ensure agent outputs are accurate, safe, and aligned with compliance requirements</li>
<li>Knowledge Transfer - Document agent architectures, prompt libraries, and best practices. Support internal teams in adopting and maintaining deployed solutions</li>
<li>Stakeholder Collaboration - Work closely with project leads, solution architects, and government stakeholders to translate business requirements into AI agent specifications and deliverables</li>
</ul>
Requirements<ul>
<li>
3-5 years of hands-on experience in AI/ML engineering, prompt engineering, or agent development with a strong bias for speed and execution</li>
<li>Demonstrated experience building agents and applications using Google Gemini (required), with familiarity in Vertex AI, Gemini API, and Agent Builder</li>
<li>Strong programming skills in Python with experience in LLM orchestration frameworks (LangChain, Llama Index, or equivalent)</li>
<li>Experience with RAG architectures, function calling, tool use, and multi-agent systems</li>
<li>Ability to work on-site in Doha, Qatar for the full engagement duration (3 months, extendable)</li>
<li>Fast learner who thrives under pressure with a ship-fast, iterate-fast mentality</li>
<li>Public sector or government consulting experience is a plus (Arabic is a plus)</li>
<li>Google Cloud or AI-related certifications are a bonus</li></ul></div>

Prompt and Agent Engineer

Brainlake

<div>
 Seeking a high-performing Prompt &amp; Agent Engineer (Senior Associate / Manager) to join a fast-paced engagement on-site in Doha, Qatar. This is a 3-month contract, extendable based on performance and project needs.
 
 
 The primary purpose of the role is to rapidly design, build, and deploy AI agents and prompt-engineered solutions for different use cases. You will work hands-on with large language models &mdash; particularly Google Gemini &mdash; to develop production-ready agents that automate workflows, enhance citizen services, and drive operational efficiency across certain initiatives
 
 
 <ul>
 <li>
 Agent Development - Design, build, and deploy AI agents using Google Gemini and related frameworks to automate workflows and service delivery processes
 </li>
 <li>
 Prompt Engineering - Craft, test, and optimize advanced prompts and prompt chains to maximize LLM output quality, accuracy, and reliability for production use cases
 </li>
 <li>
 Rapid Prototyping - Quickly build functional prototypes and MVPs of AI-powered tools, iterating fast based on stakeholder feedback and real-world testing
 </li>
 <li>
 Integration and Orchestration - Connect AI agents with APIs, databases, and existing government systems using orchestration tools such as LangChain, Vertex AI Agent Builder, or similar frameworks
 </li>
 <li>
 Evaluation and Testing - Develop evaluation benchmarks, test suites, and guardrails to ensure agent outputs are accurate, safe, and aligned with compliance requirements
 </li>
 <li>
 Knowledge Transfer - Document agent architectures, prompt libraries, and best practices. Support internal teams in adopting and maintaining deployed solutions
 </li>
 <li>
 Stakeholder Collaboration - Work closely with project leads, solution architects, and government stakeholders to translate business requirements into AI agent specifications and deliverables
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3-5 years of hands-on experience in AI/ML engineering, prompt engineering, or agent development with a strong bias for speed and execution
 </li>
 <li>
 Demonstrated experience building agents and applications using Google Gemini (required), with familiarity in Vertex AI, Gemini API, and Agent Builder
 </li>
 <li>
 Strong programming skills in Python with experience in LLM orchestration frameworks (LangChain, Llama Index, or equivalent)
 </li>
 <li>
 Experience with RAG architectures, function calling, tool use, and multi-agent systems
 </li>
 <li>
 Ability to work on-site in Doha, Qatar for the full engagement duration (3 months, extendable)
 </li>
 <li>
 Fast learner who thrives under pressure with a ship-fast, iterate-fast mentality
 </li>
 <li>
 Public sector or government consulting experience is a plus (Arabic is a plus)
 </li>
 <li>
 Google Cloud or AI-related certifications are a bonus
 </li>
 </ul>
</div>

Hudhud Maps

<div>About The Role:
We are looking for a Senior Machine Learning Engineer with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our growing team. This role requires strong research-to-production skills, combined with robust software engineering capabilities to ensure scalable, reliable systems.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul><li>Design, develop, and deploy NLP and LLM-based solutions for real-world applications.</li><li>
Translate research papers and experimental models into production-ready systems.</li><li>
Architect and implement scalable ML pipelines, ensuring performance and reliability.</li><li>
Collaborate with product and engineering teams to integrate ML models into Hudhud's platforms.</li><li>
Conduct experiments, evaluate models, and optimize for accuracy, efficiency, and cost.</li><li>
Stay up to date with the latest advancements in NLP, LLMs, and generative AI.</li><li>
Guide junior engineers and contribute to building a high-performance AI team.</li></ul><h3 class="jobSectionHeader">
Qualifications &amp; Skills</h3>
<ul><li>Education: MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related fields.</li><li>
Experience: Minimum 5+ years of professional experience in ML/NLP, with at least 3+ years working on LLMs.</li><li>
Core Expertise:<ul><li>
Strong background in NLP techniques (transformers, embeddings, sequence models).</li><li>
Hands-on experience with LLMs (fine-tuning, prompt engineering, model evaluation).</li><li>
Practical experience with LangChain and/or Haystack frameworks for building LLM-powered applications.</li><li>
Solid understanding of ML system design and deployment in production environments.</li></ul></li><li>
Software Engineering Skills:<ul><li>
Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).</li><li>
Strong knowledge of software engineering principles (version control, testing, CI/CD).</li><li>
Experience with distributed systems, APIs, and microservices.</li><li>
Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).</li></ul></li></ul><ul><li>
Problem-Solving: Excellent analytical skills and ability to work independently in a fast-paced startup environment.</li><li>
Preferred: Experience in Arabic NLP or multilingual LLMs is a strong plus.</li></ul>
Joining Hudhud means:
<ul><li>Working on real-world problems with direct impact across industries in Saudi Arabia and beyond.</li><li>
Being part of a fast-growing startup that values innovation, ownership, and bold ideas.</li><li>
Collaborating with a team passionate about pushing the boundaries of geospatial technology.</li><li>
Helping shape the future of customer experience through maps and location intelligence.</li></ul>
We're not just building technology &mdash; we're redefining how people and businesses experience the world around them.</div>

Senior Machine Learning Engineer (NLP/LLMs)

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

Rewaa

<div>
 
 
 Rewaa is on a mission to revolutionise retail! Our cutting-edge SaaS platform empowers retailers to move and grow faster. We provide innovative solutions for point-of-sale, inventory management, omnichannel integrations, tax and accounting, and reporting, all delivered on a single screen with our lightning-fast, robust hardware. With over 10,000+ customers and an ambitious trajectory toward global expansion, there's never been a better time to join Rewaa!
 
 
 
 
 
 
 
 Own the end-to-end AI strategy and execution for our B2B business. You&rsquo;ll build an agentic-AI platform&mdash;designing, deploying, and operating AI agents that automate complex workflows, augment human teams, and drive measurable revenue and efficiency. You&rsquo;ll lead Data Science, ML/LLM Engineering, MLOps, and Data Platform functions to deliver production-grade automation.
 
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 <ul>
 <li>
 AI &amp; Automation Strategy: Define a 12&ndash;24 month roadmap for agentic AI, including prioritized workflows, business cases, and an experiment-to-production funnel
 
 </li>
 </ul>
 <ul>
 <li>
 Agentic Systems: Architect multi-agent systems (planning, tool use, retrieval, memory, monitoring) to automate end-to-end B2B processes (e.g., lead ops, customer service workflows, underwriting, ticket triage, finance operations)
 
 </li>
 </ul>
 <ul>
 <li>
 ML/LLM Productization: Ship production AI features (LLM orchestration, RAG, fine-tuning/LoRA, structured tool calling, function routing, evaluator loops) with defined reliability SLAs
 
 </li>
 </ul>
 <ul>
 <li>
 Data Platform &amp; MLOps: Own data quality, feature stores, model registries, CI/CD for models, online/offline evaluation, observability, and cost/performance governance
 
 </li>
 </ul>
 <ul>
 <li>
 Risk, Governance &amp; Safety: Establish guardrails for privacy, security, bias, model drift, safety, prompt injection, and compliance&mdash;including human-in-the-loop systems where needed
 
 </li>
 </ul>
 <ul>
 <li>
 Team Leadership: Build and mentor a 15+ person organization across Data &amp; AI; elevate hiring standards, technical bar, and team culture
 
 </li>
 </ul>
 <ul>
 <li>
 Partnerships &amp; Vendors: Evaluate and negotiate with model providers, vector DBs, evaluation platforms, data vendors, and cloud partners; drive a hybrid build-vs-buy strategy
 
 </li>
 </ul>
 <ul>
 <li>
 Metrics &amp; ROI: Tie AI initiatives to revenue lift, margin expansion, and cycle-time reduction; present measurable outcomes to executive leadership
 </li>
 <li>
 Cross-Functional Leadership: Partner with Product, Design, Sales, Operations, Legal, and Security to land AI features and enterprise deployments
 
 </li>
 </ul>
 
 
 
 
 Minimum Qualifications
 
 <ul>
 <li>
 12+ years in Data/ML, including 5+ years leading managers and multi-disciplinary teams
 
 </li>
 </ul>
 <ul>
 <li>
 Solid understanding of agentic or tool-using LLM systems (planning, tool invocation, evaluators, autonomous workflows)
 
 </li>
 </ul>
 <ul>
 <li>
 Strong ML fundamentals (supervised/unsupervised learning, sequence models, embeddings, retrieval, evaluation design, causal inference)
 
 </li>
 </ul>
 <ul>
 <li>
 Deep MLOps experience (feature stores, model registry, deployment patterns, drift detection, online/offline evaluation, A/B frameworks)
 
 </li>
 </ul>
 <ul>
 <li>
 Proven ability to translate ambiguous business processes into automated AI workflows with quantifiable ROI
 
 </li>
 </ul>
 <ul>
 <li>
 Excellent executive communication and stakeholder management across Product, GTM, Operations, Security, and Legal
 
 </li>
 </ul>
 
 
 
 
 Compensation and Benefits
 
 <ul>
 <li>
 Competitive monthly salary
 </li>
 <li>
 Stock Option Plan
 </li>
 <li>
 Health insurance for the employee, their spouse, and children
 </li>
 <li>
 21 working days of annual vacation
 </li>
 <li>
 Rewaa is a fast-growing company with great opportunities to develop
 
 </li>
 </ul>
 
 
 
 
 
 
 
 Alert for Candidates
 
 
 
 
 
 Please be aware that Rewaa and its subsidiaries do not conduct interviews via email or text and will never request payment as a condition for applying for a position or receiving a job offer. To ensure your safety, apply only through Rewaa&rsquo;s official channels and avoid sharing personal information (name, address, birthdate, ID number, etc.) with unsolicited contacts. If you encounter anything suspicious, please let us know so we can assist you.
 
 
 
 
 
 
 &nbsp;
 
 تنبية للمتقدمين
 
 
 تؤكد شركة رِواء وشركاتها التابعة على أنها لا تجري أي مقابلات عمل عبر البريد الإلكتروني أو الرسائل النصية، ولن تطلب أي مبالغ مادية كشرط للتقديم أو لتلقي عرض عمل على أي وظيفة. التقديم على وظائف شركة رواء يتم فقط عبر القنوات الرسمية للشركة، ونحذر من مشاركة معلوماتك الشخصية (مثل الاسم، العنوان، تاريخ الميلاد، والهوية الوطنية، وغيرها) مع أي طرف خارجي.
 
 
 
 
 
 
 
 Notice to External Recruiters and Staffing Agencies
 
 
 
 
 
 Rewaa does not accept unsolicited resumes from external recruiters or staffing agencies. Any submission of an unsolicited resume to our resume database, directly to Rewaa hiring managers, or by other means will be considered gratis, and no recruiting fee will be paid if an unsolicited candidate from a third-party recruiter is subsequently hired. Fees will be paid ONLY where an external recruiter has an executed service contract in place with Rewaa and resumes have been solicited by our Talent Acquisition team in connection with a specific job opening.
 
 
 
 
 
 
 &nbsp;
 
 إشعار للمستقطبين الخارجيين ووكالات التوظيف
 
 
 تؤكد شركة رِواء أنها لا تقبل أي سيرة ذاتية من المستقطبين الخارجيين أو وكالات التوظيف إلا إذا كانت بموجب عقد مبرم وموقع بين الطرفين. أي سيرة ذاتية تُقدم إلى قاعدة بياناتنا، أو تُرسل مباشرةً إلى مسؤولي التوظيف في شركة رِواء، أو تُرسل عبر أي وسيلة أخرى دون عقد مسبق، ستُعتبر خدمة مجانية، ولن يتم دفع أي رسوم توظيف في حال تعيين المرشح. تُدفع الرسوم فقط إذا تم طلب السيرة الذاتية من قِبَل مسؤولي التوظيف لدى شركة رِواء بموجب العقد.
 
 
 
 
 
 
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 
 
 
 
 
 
</div>

VP of Data & AI

Explore 259+ Llm engineer in Riyadh this February. Find roles across top companies and apply now to boost your career.

259 llm engineer jobs In Riyadh

LLM engineer

LLM engineer

Prompt and Agent Engineer

Prompt and Agent Engineer

Senior Machine Learning Engineer (NLP/LLMs)

Product Manager

VP of Data & AI