planning engineer

data engineer

sales engineer

electrical engineer

engineering coordinator

ai computer vision engineer

TAWANTECH

<div>Role Overview:<ul>
<li>Provide AI strategy consulting for enterprises and government sectors.
</li><li>Build and lead AI Centers of Excellence (AI Factories).
</li><li>Support organizations in AI strategy implementation and deployment services.
</li><li>Conduct AI readiness assessments and maturity evaluations to identify gaps and opportunities.
</li><li>Collaborate with stakeholders to design scalable AI architectures aligned with business objectives.
</li><li>Guide clients on the adoption of emerging AI technologies and frameworks.
</li></ul>Key Responsibilities:<ul>
<li>Define and implement enterprise-level AI strategies.
</li><li>Architect end-to-end AI solutions across multiple domains (ML, NLP, Computer Vision, etc.).
</li><li>Assess AI maturity and deliver tailored roadmaps for digital transformation.
</li><li>Develop governance frameworks and best practices for AI adoption.
</li><li>Partner with business leaders to ensure AI solutions meet performance, security, and compliance standards.
</li><li>Provide technical leadership and mentorship for AI implementation teams.</li>
</ul>Requirements<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field.
</li><li>7+ years of experience in architecture, strategic planning, and AI consultancy.
</li><li>Strong expertise in AI technologies, including:
</li><li><ul><li>Machine Learning (ML)
</li><li>Natural Language Processing (NLP)
</li><li>Deep Learning
</li><li>Robotic Process Automation (RPA)
</li><li>Computer Vision
</li><li>Generative AI &amp; Agentic AI
</li><li>OSINT &amp; GEOINT applications
</li></ul></li><li>Proven track record in designing and deploying enterprise-scale AI solutions.
</li><li>Strong business acumen with the ability to bridge the gap between technical and executive stakeholders.
</li><li>Excellent communication, presentation, and client-facing skills.
</li></ul>Preferred:<ul>
<li>Master&rsquo;s degree in AI, Data Science, or a related advanced field.
</li><li>AI-related certifications (e.g., AWS AI/ML Specialty, Google Cloud ML, Microsoft AI Engineer).
</li><li>Experience in regulated industries (healthcare, finance, government).</li></ul></div>

AI Consultant & Architect

BRAINS VALLEY

AI Consultant / ExpertWe are seeking an experienced AI Consultant / Expert to join our team. The ideal candidate will have a strong background in Artificial Intelligence, with proven expertise in developing and implementing AI-driven solutions that support business growth and innovation.Key Responsibilities:Provide expert advice on AI strategy, technologies, and best practices.Design, develop, and implement AI models and solutions tailored to business needs.Analyze data to identify opportunities for AI adoption and optimization.Collaborate with cross-functional teams to integrate AI solutions into existing systems.Stay up to date with the latest trends and advancements in AI.Requirements:Proven experience as an AI Consultant, AI Expert, or in a related role.Strong knowledge of AI technologies such as Machine Learning, Deep Learning, NLP, and Computer Vision.Proficiency in programming languages (Python, R, or similar).Excellent problem-solving, analytical, and communication skills.Ability to translate complex technical concepts into practical business solutions.Job Types: Full-time, Part-time, Temporary, Contract

AI Consultant / Expert

IntelliSense.io

Join IntelliSense.io as a Mining Technology Engineer!Shape the Future of Mining with IntelliSense.ioAre you passionate about using cutting-edge technology to transform the mining industry? IntelliSense.io is seeking a talented and motivated Mining Technology Engineer to lead our expansion into the Kingdom of Saudi Arabia as our first hire in the region.We are pioneers in Objective AI (ODAI), integrating fundamental physics with AI to characterize the physical world and deliver high-value decision recommendations acting as the brains of the operation. Our technology delivers recommendations to humans as their role-specific co-pilots augment human intelligence or direct to the execution systems (machines) making operations autonomous.With a global, remote-first workforce and regional hubs in the UK, Australia, Chile, and Ireland, we are now expanding our presence in the Middle East, particularly in Saudi Arabia &mdash; a global leader in mining development under Vision 2030.Your Responsibilities<ul><li>Lead the implementation of AI-driven software products at mining sites in Saudi Arabia.</li><li>Collaborate closely with client teams to understand operational needs and configure customised technology solutions.</li><li>Provide training and ongoing support to end users, ensuring full adoption and value realisation.</li><li>Act as the primary contact between our engineering/product teams and clients, collecting feedback and identifying areas for enhancement.</li><li>Support regional business growth through client engagement, renewals, and solution expansion.</li></ul>What You Bring<ul><li>A degree in Metallurgy, Mining Engineering, Process Engineering, Chemical Engineering, or a related discipline.</li><li>3+ years of hands-on experience in mining operations, process optimisation, or deploying new technology or software solutions within the industrial or mining sectors.</li><li>Exposure to AI or digital transformation initiatives is highly desirable.</li><li>Strong analytical and problem-solving abilities, with excellent interpersonal and communication skills.</li><li>Fluency in both English and Arabic is essential.</li><li>Willingness to travel regularly to mining sites across Saudi Arabia and internationally. A valid driving licence is required due to the remote locations of client operations.</li><li>Openness to travel to the United Kingdom for extended training periods, particularly during the onboarding phase.</li></ul>What We Offer<ul><li>Competitive salary and benefits package in line with local market standards</li><li>Remote-first and flexible working model</li><li>Generous paid time off (annual leave and public holidays per Saudi Labour Law)</li><li>Paid parental and sick leave</li><li>A chance to be part of Saudi Arabia&rsquo;s mining transformation and contribute to Vision 2030</li><li>A fast-paced, supportive international environment with significant career growth opportunities</li><li>A chance to be one of the first employees in the Middle East region, supporting and helping to shape a fast growing industrial AI business</li></ul>Be Part of the FutureIf you're excited about the intersection of AI, mining, and industrial innovation, we&rsquo;d love to hear from you.Note: This role is open to Saudi nationals and expatriates with the legal right to work in the Kingdom. IntelliSense.io is an equal opportunity employer and values diversity in our teams.Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>mining operations/ process optimisation: 3 years (Required)</li></ul>Language:<ul><li>English and Arabic (Required)</li></ul>

Mining Technology Engineer

MASTER-WORKS

<div>Job Overview:
Master Works is looking for a highly skilled LLM Engineer to join our AI Core Delivery team within the AI &amp; Analytics CoE. In this role, you will develop, deploy, and optimize advanced language model capabilities, including Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems. You will play a key role in scaling AI Core as the central enterprise AI platform by ensuring production-ready performance, robust observability, and seamless integration of LLMs with internal and external systems.
Key Responsibilities<ul>
<li>Model Development &amp; Optimization</li>
<li><ul><li>Build and optimize RAG pipelines for efficient document processing, indexing, and retrieval.</li>
<li>Implement agentic AI logic for tool integration, task automation, and external data access.</li>
<li>Enhance query understanding, response ranking, and AI-generated output quality.</li>
<li>Develop evaluation benchmarks to measure LLM performance, accuracy, and relevance.</li>
</ul></li><li>LLMOps &amp; Deployment</li>
<li><ul><li>Collaborate with API developers and backend engineers to deliver secure, observable LLM endpoints.</li>
<li>Deploy and manage LLMs in cloud-native or hybrid environments with support for scalability and multi-cloud readiness.</li>
<li>Implement CI/CD workflows for model updates, rollback mechanisms, and performance tuning.</li>
</ul></li><li>Backend &amp; Data Integration</li>
<li><ul><li>Integrate LLM capabilities with enterprise data sources and knowledge bases.</li>
<li>Support multi-source retrieval and embedding strategies to improve AI responses.</li>
<li>Design pipelines that ensure low latency, high throughput, and fault tolerance.</li>
</ul></li><li>Security &amp; Compliance</li>
<li><ul><li>Apply enterprise-grade authentication, access management, and encryption standards.</li>
<li>Ensure compliance with internal governance policies, data privacy, and audit requirements.</li>
</ul></li><li>Continuous Improvement</li>
<li><ul><li>Monitor system performance, debug issues, and fine-tune models based on real-world feedback.</li>
<li>Stay updated on advancements in LLM architectures, open-source tools, and evaluation frameworks.</li>
</ul></li></ul>Requirements<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related field.</li>
<li>Hands-on experience with LLM development and deployment (OpenAI, Anthropic, Hugging Face, LLaMA, etc.).</li>
<li>Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, and vector databases.</li>
<li>Experience with cloud environments (AWS, Azure, GCP) and infrastructure-as-code (IaC).</li>
<li>Proficiency with Python or similar languages for AI/ML pipeline development.</li>
<li>Familiarity with container orchestration (Docker, Kubernetes) and CI/CD practices.</li>
<li>Knowledge of observability tools for monitoring AI performance in production environments.</li>
</ul>Preferred Skills<ul>
<li>Experience integrating agentic AI capabilities with external APIs and automation tools.</li>
<li>Strong grasp of prompt engineering, contextual memory systems, and LLM evaluation.</li>
<li>Exposure to enterprise AI security and compliance standards.</li></ul></div>

LLM Engineers

Lucidya

<div>We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.
You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions&mdash;from backend infrastructure to prompt optimization.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
</li><li>Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
</li><li>Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
</li><li>MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
</li><li>Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
</li><li>Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
</li><li>Evaluation &amp; Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
</li><li>Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.</li>
</ul>Requirements<ul>
<li>Minimum Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field.
</li><li>Strong background in AI/ML, with a focus on generative models.
</li><li>Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
</li><li>Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
</li><li>Expertise in prompt engineering and prompt optimization for diverse tasks.
</li><li>Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
</li><li>Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
</li><li>Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
</li><li>Proactive mindset with the ability to take ownership of challenges and drive solutions.
</li><li>Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.</li>
</ul>Benefits<h3 class="jobSectionHeader">
Why Join Us?</h3>
This is more than just an engineering role. it&rsquo;s an opportunity to shape the infrastructure and technical future of Lucidya. You&rsquo;ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company&rsquo;s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you&rsquo;ll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.</div>

Generative AI Engineer (Saudi-based only)

Mozn

<div>
 
 About Mozn
 
 
 
 Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it&rsquo;s working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.
 
 
 We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.
 
 
 
 About The Role
 
 
 
 We are seeking a Senior Cloud Platforms Engineer to join our Cloud Engineering team and lead the design, development, and operation of our internal platform services. You will play a pivotal role in shaping a highly reliable, scalable, and developer-friendly infrastructure to support our growing portfolio of microservices and cloud-native applications.
 
 
 
 What You'll Do
 
 
 
 
 
 Platform Engineering &amp; Infrastructure
 
 
 
 
 <ul>
 <li>
 Design, build, and maintain internal cloud platform capabilities on GCP and/or OCI, with Kubernetes (GKE/OKE) at its core.
 </li>
 <li>
 Operate scalable, resilient, and observable infrastructure systems, including CI/CD pipelines and service mesh components.
 </li>
 <li>
 Build and maintain infrastructure as code (IaC) using Terraform, Helm, or similar tools.
 </li>
 <li>
 Design, build, and maintain self-service secure backing services such as MySQL, Postgres, ClickHouse, RabbitMQ, and Kafka.
 
 
 </li>
 </ul>
 
 
 Kubernetes &amp; Microservices Enablement
 
 
 
 
 <ul>
 <li>
 Manage Kubernetes cluster lifecycle: upgrades, patching, and tuning.
 </li>
 <li>
 Create reusable templates, GitOps workflows, and automation for microservice deployment.
 </li>
 <li>
 Implement observability tools (Prometheus, Grafana, Loki) to monitor system health.
 
 
 </li>
 </ul>
 
 Developer Experience &amp; Self-Service
 
 
 
 <ul>
 <li>
 Develop self-service tools, APIs, and CLIs to streamline provisioning, secrets, and deployment workflows.
 </li>
 <li>
 Collaborate with engineering teams to reduce friction and improve deployment speed and quality.
 </li>
 <li>
 Promote platform adoption through documentation, training, and enablement.
 
 
 </li>
 </ul>
 
 
 Networking, Security &amp; Compliance
 
 
 
 
 <ul>
 <li>
 Expert networking
 </li>
 <li>
 Ensure secure-by-default practices across the platform (network policies, IAM, pod security).
 </li>
 <li>
 Align infrastructure practices with internal and external compliance requirements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 5+ years of experience in cloud platform or infrastructure engineering.
 </li>
 <li>
 Expertise in Kubernetes and containerised microservices architecture.
 </li>
 <li>
 Strong expertise in backing services such as MySQL, Postgres, Kafka, and RabbitMQ
 </li>
 <li>
 Proficient with Terraform, Helm, GitOps tools (ArgoCD, Flux).
 </li>
 <li>
 Strong understanding of cloud networking, Linux, and service discovery.
 </li>
 <li>
 Experience with observability tooling (Datadog, Prometheus, Fluent Bit).
 </li>
 <li>
 Scripting in Go, Python, or Bash.
 </li>
 <li>
 Background in developer platform enablement and internal tooling is a plus.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience with multi-cloud environments (GCP, OCI, AWS).
 </li>
 <li>
 Knowledge of AI agents and GenAI in streamlining platform engineering
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

Senior Cloud Platforms Engineer

<div>
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Provide Big Data strategy consulting to enterprises and government organizations.
 </li>
 <li>
 Build and manage BI &amp; Data Analytics Centers of Excellence to drive organizational data maturity.
 </li>
 <li>
 Advise on data governance, security, and compliance frameworks.
 </li>
 <li>
 Design and implement scalable Big Data solutions across industries
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or related field.
 </li>
 <li>
 Minimum 7 years of experience in Big Data architecture, strategic planning, and consulting.
 </li>
 <li>
 Proficiency in Big Data technologies, ML, Data Modeling, ETL, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
 </li>
 <li>
 Strong leadership and advisory skills for enterprise-scale projects
 </li>
 </ul>
</div>

Big Data Consultant & Architect

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