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ai systems architect - llm & vector infrastructure Jobs in Riyadh

ai systems architect llm vector infrastructure

Swiss Hospitality

<div>We are seeking a senior AI Systems Architect to design and implement AI-native application cores where Large Language Models (LLMs), vector databases, retrieval systems, and agent frameworks form the primary computational layer of our web and mobile applications.
This role is responsible for architecting scalable AI pipelines, retrieval-augmented generation (RAG) systems, memory architectures, AI agents, and orchestration workflows integrated with our development stack (Web, Mobile, n8n automation, and AI services).
The ideal candidate understands that AI is not a feature, it is the operating system of the product.
Key Responsibilities
1. AI Core Architecture Design<ul>
<li>
Design AI-first system architecture for web and mobile applications</li>
<li>Architect RAG pipelines using vector databases</li>
<li>Define long-term memory, short-term memory, and contextual state systems</li>
<li>Implement multi-agent AI systems</li>
<li>Design AI orchestration layers</li>
</ul>
2. Vector Database &amp; Embedding Systems<ul>
<li>
Select and implement vector databases such as:</li>
<li><ul><li>Pinecone</li>
<li>Weaviate</li>
<li>Qdrant</li>
<li>Milvus</li>
<li>Supabase (pgvector)</li>
</ul></li><li>Optimize embedding strategies</li>
<li>Implement hybrid search (semantic + keyword)</li>
<li>Design scalable indexing pipelines</li>
</ul>
3. LLM Integration &amp; Optimization<ul>
<li>
Work with models such as:</li>
<li><ul><li>OpenAI APIs</li>
<li>Anthropic</li>
<li>Meta (LLaMA)</li>
<li>DeepSeek</li>
<li>Alibaba (Qwen)</li>
</ul></li><li>Implement structured output pipelines</li>
<li>Design evaluation and prompt testing frameworks</li>
<li>Optimize cost-performance ratio</li>
</ul>
4. AI Agent Systems &amp; Orchestration<ul>
<li>
Build autonomous AI agents</li>
<li>Design tool-calling systems</li>
<li>Integrate with:</li>
<li><ul><li>n8n</li>
<li>LangGraph / LangChain style agent flows</li>
</ul></li><li>Implement memory-aware agents</li>
</ul>
5. Production AI Engineering<ul>
<li>
Build monitoring systems for hallucination detection</li>
<li>Design guardrails and validation layers</li>
<li>Implement evaluation datasets and benchmarking</li>
<li>Ensure security of AI pipelines</li>
<li>Build scalable infrastructure (Docker, Kubernetes, GPU optimization)</li>
</ul>
Requirements
Technical Expertise<ul>
<li>
5+ years software engineering experience</li>
<li>2+ years building production AI systems</li>
<li>Deep knowledge of:</li>
<li><ul><li>Vector embeddings &amp; similarity search</li>
<li>RAG architectures</li>
<li>Tokenization and context window optimization</li>
<li>Fine-tuning &amp; LoRA concepts</li>
<li>Prompt evaluation frameworks</li>
</ul></li><li>Experience with Python (mandatory)</li>
<li>Experience with FastAPI / backend services</li>
<li>Experience designing scalable APIs</li>
</ul>
Architecture Experience<ul>
<li>
Designing distributed systems</li>
<li>Microservices &amp; event-driven architecture</li>
<li>Experience with PostgreSQL + pgvector</li>
<li>Experience deploying LLM systems in production</li></ul></div>

AI Systems Architect - LLM & Vector Infrastructure

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>

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

<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!
 
 
 
 
 
 
 
 We are seeking an exceptional Data Engineering Director to lead Rewaa's data organization through a transformative phase of growth and innovation. This is not a typical data leadership role; we need a true technical leader who can architect enterprise-scale systems, help to drive AI/ML innovation, and deliver products that fundamentally change how we operate. The ideal candidate is a proven technical leader who can architect enterprise-grade data systems from the ground up, translate complex analytics into revenue-driving products, work hands-on with teams to solve the most complicated problems, and inspire excellence in others.
 
 
 
 
 
 
 
 Key Accountabilities
 
 <ul>
 <li>
 Define the data product vision, strategy, and long-term roadmap aligned with business objectives, anticipating needs 2-3 years ahead.&nbsp;
 </li>
 <li>
 Own end-to-end data architecture and pipelines, ensuring scalability, reliability, and maintainability at enterprise scale.&nbsp;
 </li>
 <li>
 Design and oversee scalable, fault-tolerant data infrastructure, including distributed storage solutions, streaming architectures, and cloud infrastructure (AWS/GCP).&nbsp;
 </li>
 <li>
 Establish and enforce best practices, including CI/CD pipelines, containerization (Docker/Kubernetes), infrastructure-as-code, automated testing, and data observability.&nbsp;
 </li>
 <li>
 Evaluate and improve the technical quality of solutions, conducting architecture reviews and providing actionable guidance to teams.&nbsp;
 </li>
 <li>
 Assess emerging technologies (real-time streaming, LLMs, vector databases, etc.) and make strategic build-vs-buy decisions.&nbsp;
 </li>
 <li>
 Drive data governance, security, and compliance frameworks, ensuring data privacy and regulatory adherence.&nbsp;
 </li>
 <li>
 Provide expert code reviews, architectural guidance, and mentor engineers on advanced topics (distributed systems, ML engineering, optimization).&nbsp;
 </li>
 <li>
 Debug and resolve critical production issues, and identify bottlenecks and inefficiencies in technical systems and team workflows, implementing automation and process improvements.&nbsp;
 </li>
 <li>
 Build data quality frameworks, including automated validation, anomaly detection, and lineage tracking.&nbsp;
 </li>
 <li>
 Establish incident response processes and conduct blameless post-mortems to drive continuous improvement
 
 </li>
 </ul>
 
 
 
 
 Requirements and Qualifications
 
 <ul>
 <li>
 10+ years in data engineering, or data-focused product leadership, with 4+ years leading teams in senior/director+ roles at high-growth companies.&nbsp;
 </li>
 <li>
 Data infrastructure and architecture (data warehousing, data lakes, lakehouses, streaming architectures like Kafka/Kinesis).&nbsp;
 </li>
 <li>
 Advanced data modeling (dimensional, Data Vault, graph, event-driven).&nbsp;
 </li>
 <li>
 Develop and manage ETL/ELT pipelines and orchestration tools&nbsp;
 </li>
 <li>
 Deploy and monitor ML and AI models in production at scale.&nbsp;
 </li>
 <li>
 Optimize cloud platforms (AWS or GCP), including data services, serverless, and cost efficiency.
 </li>
 <li>
 Write and optimize SQL, programming languages for data engineering, and distributed computing (Spark).&nbsp;
 </li>
 <li>
 Implement modern data stack tools (Databricks, Fivetran, Airbyte, etc.).&nbsp;
 </li>
 <li>
 Hands-on experience with CI/CD, Docker/Kubernetes, infrastructure-as-code, and DevOps/DataOps practices&nbsp;
 </li>
 <li>
 Proven track record of building data products that delivered &gt;$10M in value or transformed business operations
 
 </li>
 </ul>
 
 
 
 
 Compensation and Benefits
 
 <ul>
 <li>
 Competitive monthly salary.&nbsp;
 </li>
 <li>
 Stock Option Plan.&nbsp;
 </li>
 <li>
 Health insurance for the employee, their spouse, and children.&nbsp;
 </li>
 <li>
 21 working days of annual vacation.&nbsp;
 </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>

Data Engineering Director

Halian | Managed Services, Recruitment Agency & Contract Staffing

<div>
 
 
 Senior FullStack Developer
 
 
 
 
 
 <ul>
 <li>
 6 Month Extendable Contract
 </li>
 <li>
 Saudi Arabi - Office based
 </li>
 </ul>
 
 
 
 
 A leading global technology consultancy is seeking a
 
 Senior FullStack Developer
 
 to join a high-impact Generative AI initiative in
 
 Saudi Arabia
 
 .
 
 
 
 
 
 As a Senior FullStack Developer, you will play a pivotal role in designing and building scalable infrastructure, APIs, and user interfaces that support advanced AI models. You&rsquo;ll collaborate closely with GenAI specialists and cross-functional teams to deliver robust, maintainable systems that drive innovation.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop modern, scalable front-end applications using
 
 React.js and TypeScript
 
 </li>
 <li>
 Build secure, modular backend services with
 
 Python and FastAPI
 
 </li>
 <li>
 Integrate AI/ML models and Agentic AI frameworks (e.g., Semantic Kernel, Llama Index)
 </li>
 <li>
 Work with databases including
 
 PostgreSQL
 
 and
 
 Qdrant Vector DB
 
 </li>
 <li>
 Ensure high code quality through unit testing, CI/CD, and secure coding practices
 </li>
 <li>
 Contribute to architectural decisions and technical documentation
 </li>
 </ul>
 
 
 
 
 
 About You:
 
 
 <ul>
 <li>
 4+ years of hands-on full stack development experience
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 ,
 
 FastAPI
 
 ,
 
 React.js
 
 , and
 
 TypeScript
 
 </li>
 <li>
 Experience with GenAI tools and Agentic AI infrastructure
 </li>
 <li>
 Solid understanding of software engineering best practices
 </li>
 <li>
 Excellent problem-solving and analytical skills
 </li>
 <li>
 Must already be
 
 based inside Saudi Arabia
 
 .
 </li>
 <li>
 Must be immediately available to / notice period within 2 weeks
 </li>
 </ul>
 
 
 
 
 
 Why Join?
 
 
 
 This is a unique opportunity to be part of a global organization driving innovation through AI and digital transformation. You&rsquo;ll work alongside industry experts in a collaborative, forward-thinking environment with access to cutting-edge technologies and career development opportunities.
 
</div>

Full Stack Engineer

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)

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