planning engineer

electrical engineer

network engineer

maintenance engineer

mechanical engineer

ml engineer

Foodics

<div>Who Are We&#10067; 
We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
The Job in a Nutshell
You will lead the design, development, and deployment of ML/AI/GenAI models that power core Foodics products (e.g., pricing, personalization, fraud detection). You&rsquo;ll collaborate with Data Engineers, Product Managers, and Platform teams to deliver production-grade models with real impact.
What Will You Do&#10067;<ul><li><ul>
<li>Own end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, monitoring.</li>
<li>Design and develop scalable solutions using classical ML and GenAI techniques.</li>
<li>Implement MLOps best practices: versioning, reproducibility, monitoring, CI/CD for models.</li>
<li>Collaborate with squads and platform teams to ensure reusability and adherence to standards.</li>
<li>Mentor junior ML engineers and contribute to the internal ML knowledge base.</li>
<li>Integrate models with APIs and backend services as needed.</li>
<li>Embrace and enforce a &quot;you build it, you run it&quot; approach, owning the full lifecycle of ML models from development through monitoring and continuous improvement.</li>
</ul></li></ul>What Are We Looking For&#10067;<ul><li><ul>
<li>5+ years&rsquo; experience in applied ML, AI, or data science.</li>
<li>Strong proficiency in Python and ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, HuggingFace Transformers).</li>
<li>Experience with MLOps tools (e.g., MLflow, SageMaker) and managing versioning, testing, and observability.</li>
<li>Deep understanding of model development workflows including feature engineering, hyperparameter tuning, model evaluation, and A/B testing.</li>
<li>Deep understanding of statistical modeling, statistical inference, and the appropriate application of statistical tests (e.g., t-test, chi-square, ANOVA, regression analysis); ability to interpret results and communicate implications to both technical and non-technical audiences.</li>
<li>Proven track record of deploying ML models in production at scale.</li>
<li>Knowledge of ML best practices including bias mitigation, explainability (e.g., SHAP, LIME), and model monitoring for drift and fairness.</li>
<li>Strong understanding of data pipelines, experimentation, and model evaluation.</li>
<li>Familiarity working in a cloud-native environment (AWS preferred) with CI/CD, GitOps, and IaC tools (e.g., Terraform, CDK).</li>
<li>Hands-on experience with GenAI / LLM integration (e.g., RAG, fine-tuning, embeddings, prompt engineering) and tools such as LangChain, LangGraph, or LlamaIndex.</li>
</ul></li></ul>What We Offer You&#10071; 
We believe you will love working at Foodics!<ul>
<li>We have an inclusive and diverse culture that encourages innovation.</li>
<li>We offer highly competitive compensation packages, including bonuses and the potential for shares.</li>
<li>We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.</li>
<li>Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry.</li>
<li>We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.</li></ul></div>

Senior Data Scientist / Senior ML Engineer

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 talented Machine Learning Engineer to join our growing team. As a Machine Learning Engineer, you will play a pivotal role in optimizing ML models for efficient training and inference, deploying deep learning models in specialized hardware for inference usage, monitoring the performance and latency of deployed models, and maintaining ML infrastructure.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Designing, building, supporting, and scaling our cloud and/or our on-premise ML infrastructure.
 </li>
 <li>
 Deploying deep learning models in production environments and optimizing their performance for inference on either GPU or CPU.
 </li>
 <li>
 Maintaining our infrastructure (on-prem and cloud) and preparing it for training and inference purposes.
 </li>
 <li>
 Monitoring deployed ML models for their performance, latency, and throughput using automated tools for monitoring and reporting.
 </li>
 <li>
 Evaluating and improving data science processes, identifying opportunities for automation, efficiency, and scalability.
 </li>
 <li>
 Collaborating with other teams, including product managers, data scientists, software engineers, data annotators, and business stakeholders, to ensure successful deployments of ML models.
 </li>
 <li>
 Staying up to date with the latest trends and advancements in ML engineering, ML models, and applying this knowledge to enhance the team&rsquo;s capabilities.
 </li>
 <li>
 Exploring and learning new technologies that can complement or replace our current stack to improve it.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science or a related field.
 </li>
 <li>
 +2 years of experience in a similar role.
 </li>
 <li>
 Proficiency in Arabic language (Native Arabic speaker) is a must.
 </li>
 <li>
 Proficiency in one or more programming languages (e.g., Python, C, C++) with the ability to learn new languages.
 </li>
 <li>
 Experience with relational databases, including SQL queries, database definition, and schema design.
 </li>
 <li>
 Experience with deploying Deep learning frameworks (e.g. Tensorflow, Pytorch, Onnx) in production environments using inference frameworks (e.g. Nvidia Triton, TFXServing, TorchServe).
 </li>
 <li>
 Uphold best practices and principles around clean code, version control, testing, continuous integration and continuous deployment.
 </li>
 <li>
 Effective communication skills to convey technical solutions to end-users.
 </li>
 <li>
 Experience with monitoring ML models and reporting tools (e.g. grafana, and/or promethues).
 </li>
 <li>
 Experience with containerization technologies (e.g. Docker) is highly preferred.
 </li>
 <li>
 Experience with distributed computing systems is a plus.
 </li>
 <li>
 Experience with cloud platforms (e.g. AWS, GCP, OCI) is a plus.
 </li>
 <li>
 Knowledge of big data platforms like kafka, hadoop, and spark is a plus.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why Mozn?
 
 
 
 
 <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>

Machine Learning Engineer - Riyadh

1957 Ventures

<div>
 
 1957 Ventures, the fintech venture builder by Riyad Capital, is seeking an exceptional AI Engineer to drive technical innovation across our portfolio of fintech ventures in the MENA region. This is a highly hands-on role for a versatile technologist who combines deep AI/ML expertise with full-stack development capabilities to build cutting-edge financial products from inception through scale.
 
 
 
 
 
 The AI Engineer will be responsible for designing, implementing, and deploying AI-powered solutions that transform financial services across our ventures. You will work directly with founding teams to rapidly prototype and build production-ready systems that leverage large language models, machine learning, and modern cloud architectures. This role requires the ability to work across the entire technical stack - from cloud infrastructure and edge computing to frontend applications and AI model deployment - while maintaining a builder's mindset and shipping code daily.
 
 
 
 
 
 As AI Engineer, you will architect and implement AI/ML pipelines for financial applications including fraud detection, credit scoring, and intelligent automation; build and deploy scalable full-stack applications using modern frameworks and cloud services; develop LLM-powered features for customer service, document processing, and financial advisory; design distributed systems that handle real-time financial transactions at scale; implement edge computing solutions for low-latency financial services; establish MLOps practices and infrastructure for model deployment and monitoring; collaborate with product teams to identify AI opportunities and rapidly prototype solutions; and ensure security, compliance, and performance optimization across all systems. You will report to the CTO or technical leadership while maintaining high autonomy in technical decision-making.
 
 
 
 
 
 This is a full-time position based in Riyadh, Saudi Arabia, offering the opportunity to shape the technical foundation of multiple fintech ventures. The role offers competitive compensation, equity participation, and the chance to work with cutting-edge AI technologies in financial services.
 
 
 
 
 
 
 Essential Qualifications:
 
 
 <ul>
 <li>
 5+ years of hands-on software development experience with at least 2 years focused on AI/ML in production environments
 </li>
 <li>
 Proven expertise in developing and deploying large language models (LLMs) and transformer architectures
 </li>
 <li>
 Strong full-stack development skills with production experience in modern web frameworks
 </li>
 <li>
 Extensive hands-on experience with major cloud platforms (AWS, GCP, Azure) including serverless architectures and container orchestration
 </li>
 <li>
 Proficiency in Python and at least one additional programming language (JavaScript/TypeScript, Go, Java, or similar)
 </li>
 <li>
 Experience with Linux systems administration and DevOps practices
 </li>
 <li>
 Track record of building and scaling production systems handling significant traffic or data volumes
 </li>
 <li>
 Understanding of financial services, fintech applications, or regulated environments
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
 </li>
 <li>
 Fluency in English required; Arabic language skills preferred
 </li>
 </ul>
 
 
 
 
 
 Technical Expertise Required:
 
 
 
 
 AI &amp; Machine Learning:
 
 
 <ul>
 <li>
 Hands-on experience with LLM frameworks (OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face)
 </li>
 <li>
 Proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn)
 </li>
 <li>
 Experience with prompt engineering, fine-tuning, and RAG architectures
 </li>
 <li>
 Knowledge of vector databases and embedding systems
 </li>
 <li>
 MLOps and model deployment pipelines
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Infrastructure:
 
 
 <ul>
 <li>
 Advanced proficiency in AWS, GCP, or Azure services (compute, storage, networking, AI/ML services)
 </li>
 <li>
 Experience with Infrastructure as Code (Terraform, CloudFormation, Pulumi)
 </li>
 <li>
 Container orchestration (Kubernetes, Docker, ECS/EKS/GKE)
 </li>
 <li>
 Serverless architectures and edge computing platforms
 </li>
 <li>
 Message queuing and streaming systems (Kafka, RabbitMQ, Pub/Sub)
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Development:
 
 
 <ul>
 <li>
 Frontend frameworks (React, Next.js, Vue.js, or Angular)
 </li>
 <li>
 Backend development (Node.js, FastAPI, Django, Spring Boot)
 </li>
 <li>
 RESTful APIs and GraphQL
 </li>
 <li>
 Database systems (PostgreSQL, MongoDB, Redis, DynamoDB)
 </li>
 <li>
 Web servers and proxies (Apache, Nginx, Caddy)
 </li>
 </ul>
 
 
 
 
 
 DevOps &amp; Security:
 
 
 <ul>
 <li>
 CI/CD pipelines and automation
 </li>
 <li>
 Monitoring and observability (Prometheus, Grafana, ELK stack)
 </li>
 <li>
 Security best practices for financial applications
 </li>
 <li>
 Performance optimization and load testing
 </li>
 </ul>
 
 
 
 
 
 Critical Competencies:
 
 
 <ul>
 <li>
 Builder Mentality: Obsession with shipping code and building products, not just architecting solutions
 </li>
 <li>
 Problem-Solving: Ability to tackle ambiguous technical challenges and deliver practical solutions quickly
 </li>
 <li>
 Technical Leadership: Capability to make architectural decisions and guide technical direction across teams
 </li>
 <li>
 Innovation Drive: Passion for exploring and implementing cutting-edge AI technologies in practical applications
 </li>
 <li>
 Rapid Prototyping: Ability to quickly build POCs and MVPs to validate ideas
 </li>
 <li>
 Cross-functional Collaboration: Strong communication skills to work with non-technical stakeholders
 </li>
 <li>
 Learning Agility: Continuous learner who stays current with rapidly evolving AI/ML landscape
 </li>
 <li>
 Pragmatic Approach: Balances technical excellence with business needs and time-to-market
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience building AI applications specifically for financial services (fraud detection, risk assessment, robo-advisory)
 </li>
 <li>
 Knowledge of edge AI and on-device inference optimization
 </li>
 <li>
 Contributions to open-source AI/ML projects
 </li>
 <li>
 Experience with blockchain or distributed ledger technologies
 </li>
 <li>
 Background in quantitative finance or algorithmic trading
 </li>
 <li>
 Previous startup or venture studio experience
 </li>
 <li>
 Publications or speaking engagements in AI/ML
 </li>
 <li>
 Experience with Arabic NLP and language models
 </li>
 <li>
 Knowledge of regulatory compliance in AI (explainable AI, bias detection)
 </li>
 <li>
 Expertise in specific domains: computer vision, NLP, time series analysis, or recommendation systems
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 Riyadh, Saudi Arabia
 
</div>

Software Engineer

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Riyadh Saudi Arabia; Dubai - United Arab Emirates; Kuwait City, Kuwait; Doha, Qatar.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>10 years of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience with Machine Learning model development and deployment.</li>
<li>Experience with frameworks for deep learning (e.g., PyTorch, TensorFlow, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs.</li>
<li>Experience engaging with, and presenting to, technical stakeholders and executive leaders.</li>
<li>Ability to communicate in Arabic fluently to support client relationship management in this region.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.</li>
<li>Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).</li>
<li>Experience in architecting and developing software or infrastructure for scalable, distributed systems.</li>
<li>Experience in data and information management as it relates to big data trends and issues within businesses.</li>
<li>Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You'll partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply your impact and the impact of the team as a whole. 
 
You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure.</li>
<li>Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and benchmarking.</li>
<li>Build repeatable assets to enable other customers and internal teams.</li>
<li>Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.</li>
<li>Be responsible for business and workload acceleration on AI Infrastructure products and solutions for Google Cloud Platform (GCP).</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Customer Engineer, AI/ML, Google Cloud (Arabic)

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)

Lucidya | لوسيديا

<div>
 Lucidya is the leading customer experience intelligence platform in the MENA region, helping organizations deeply understand and serve their customers using cutting-edge AI. As we expand our AI capabilities, we are building agentic AI services that can reason, plan, and act autonomously to deliver real business value.
 
 
 We are looking for an AI Agent Architect to design and lead the architecture of our next-generation AI agent systems.
 
 
 As an AI Agent Architect, you will own the end-to-end design of agent systems at Lucidya. Your role is to define how agents reason, interact with tools, collaborate as multi-agent systems, manage memory, and operate safely at scale. You will work closely with ML engineers, backend engineers, product managers, and UX designers to turn advances in LLMs and agent frameworks into robust, production-ready systems fully integrated with Lucidya's platform.
 
 
 We are seeking someone with a deep understanding of AI technologies who can architect systems that enable intelligent, goal-driven behaviors in our products. Collaboration is key: you will work across teams to align AI solutions with business needs, enhance user experiences, and bring innovative ideas from concept to production.
 
 
 
 Key Tasks &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement the architecture of Lucidya's AI agents, including reasoning loops, planning, reflection, and multi-agent collaboration.
 </li>
 <li>
 Research and apply state-of-the-art methods in machine learning, natural language processing, and reinforcement learning.
 </li>
 <li>
 Guide the development of prototypes and proof-of-concept models, experimenting with emerging technologies.
 </li>
 <li>
 Collaborate with software engineers and data scientists to integrate AI capabilities seamlessly into Lucidya products.
 </li>
 <li>
 Architect scalable and secure agent-tool interactions (e.g., CRM, analytics APIs, external systems).
 </li>
 <li>
 Ensure AI solutions align with product goals and deliver measurable business value.
 </li>
 <li>
 Design short-term and long-term memory architectures for agents.
 </li>
 <li>
 Build retrieval-augmented generation (RAG) pipelines using vector databases (Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Conduct evaluations of agent performance and optimize algorithms based on analytics and user feedback.
 </li>
 <li>
 Define observability standards for monitoring, debugging, and improving agent behaviors.
 </li>
 <li>
 Produce clear design documentation, specifications, and best practices for AI agent development.
 </li>
 <li>
 Establish AI governance and safety guardrails, ensuring agents act responsibly and in compliance with regulations.
 </li>
 <li>
 Stay current on the latest advancements in LLM, multi-agent, and AI systems research.
 </li>
 <li>
 Mentor engineers on agent orchestration and AI architecture best practices.
 </li>
 <li>
 Act as the subject matter expert and key driver of agentic AI within Lucidya
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 BA/BS or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
 </li>
 <li>
 5+ years of experience in AI/ML development with a proven track record in AI system architecture.
 </li>
 <li>
 Demonstrated experience designing and deploying LLM-driven or multi-agent AI systems.
 </li>
 <li>
 Strong knowledge of AI algorithms, including supervised, unsupervised, and reinforcement learning.
 </li>
 <li>
 Proficiency in programming languages such as Python (Java or equivalent a plus).
 </li>
 <li>
 Hands-on experience with ML frameworks (TensorFlow, PyTorch).
 </li>
 <li>
 Expertise in LLM frameworks (LangChain, LlamaIndex, AutoGen, Semantic Kernel).
 </li>
 <li>
 Experience with natural language processing and modern NLP libraries.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights &amp; Biases, Docker, Kubernetes).
 </li>
 <li>
 Solid grounding in software architecture principles and distributed systems.
 </li>
 <li>
 Strong analytical and problem-solving skills with an innovative mindset.
 </li>
 <li>
 Excellent communication skills, capable of articulating complex ideas clearly and persuasively.
 </li>
 <li>
 Collaborative team player with the ability to lead discussions on AI system design
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why Join Us?
 
 
 
 
 This is more than just an engineering role. it's an opportunity to shape the infrastructure and technical future of Lucidya. You'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's success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.
</div>

AI Agent Architect (Saudi-based only)

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

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