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Datamatics Global Services Ltd

<div>Position Title : AI/ML Engineer &ndash; Agentic AI 
Experience Required: 4&ndash;6 Years (Should be open to Travel) 
Employment Type : Full-Time - Riyadh - Onsite 
 
Job Overview 
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques. 
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment. 
 
Key Responsibilities<ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul>
Required Skills &amp; Expertise<ul><li>
Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul> 

tTAmIvfFVv</div>

AI/ML Engineer – Agentic AI

JODAYN

<div>Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.
The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.
This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.
The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments. 
Requirements 
AI Platform Engineering<ul><li>
Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions</li><li>
Build modular and reusable AI services and APIs</li><li>
Develop AI-powered workflow automation systems and intelligent orchestration pipelines</li><li>
Design and implement scalable backend architectures supporting AI workloads</li></ul>
Agentic AI Development<ul><li>
Build autonomous and semi-autonomous AI agents</li><li>
Develop multi-agent orchestration workflows and task delegation systems</li><li>
Implement memory management and contextual reasoning capabilities</li><li>
Integrate AI systems with external tools, APIs, and enterprise applications</li></ul>
Large Language Model Integration<ul><li>
Integrate and optimise large language model services including Claude, OpenAI, and open-source models</li><li>
Develop prompt orchestration pipelines and retrieval-augmented generation architectures</li><li>
Implement vector database integration and semantic search capabilities</li><li>
Optimise model performance, response quality, and operational efficiency</li></ul>
Enterprise System Integration<ul><li>
Integrate AI platforms with enterprise systems, collaboration tools, and document repositories</li><li>
Develop secure API integration patterns</li><li>
Support authentication and identity integration requirements</li><li>
Build AI-enabled enterprise workflow capabilities</li></ul>
Proposal &amp; Compliance Automation<ul><li>
Develop intelligent proposal generation and evaluation systems</li><li>
Build compliance validation and document inspection workflows</li><li>
Implement AI-assisted scoring and recommendation engines</li><li>
Support enterprise governance automation initiatives</li></ul>
Infrastructure &amp; Deployment<ul><li>
Deploy AI applications in cloud, hybrid, and on-premise environments</li><li>
Configure logging, observability, monitoring, and operational diagnostics</li><li>
Support containerisation and deployment automation practices</li><li>
Optimise infrastructure scalability and operational cost efficiency</li></ul> 
Required Qualifications
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field</li><li>
Master&rsquo;s degree is preferred but not mandatory</li></ul>
Experience<ul><li>
Minimum 7 years of software engineering experience</li><li>
Minimum 3 years practical experience developing AI-powered applications</li><li>
Proven experience building and deploying production-grade AI systems</li><li>
Experience working in enterprise or regulated environments preferred</li></ul>
Required Technical Skills
Programming &amp; Backend Development<ul><li>
Python</li><li>
FastAPI or equivalent backend frameworks</li><li>
RESTful APIs</li><li>
PostgreSQL or equivalent databases</li><li>
Git and version control systems</li></ul>
AI Technologies<ul><li>
Claude APIs</li><li>
OpenAI APIs</li><li>
LangGraph</li><li>
LangChain</li><li>
Retrieval-Augmented Generation</li><li>
Vector databases</li><li>
Prompt orchestration</li><li>
AI workflow automation</li></ul>
Frontend &amp; Integration<ul><li>
React or Next.js</li><li>
API integration</li><li>
Authentication and access control concepts</li></ul>
Infrastructure &amp; DevOps<ul><li>
Docker</li><li>
Linux environments</li><li>
CI/CD pipelines</li><li>
Cloud deployment concepts</li></ul>
Preferred Skills<ul><li>
Experience with enterprise AI governance solutions</li><li>
Experience with intelligent document processing systems</li><li>
Experience using AI-assisted development tools</li><li>
Exposure to multi-agent systems and orchestration frameworks</li><li>
Familiarity with enterprise architecture concepts</li></ul> 
Core Competencies<ul><li>
Strong analytical and problem-solving skills</li><li>
Ability to independently deliver complex technical solutions</li><li>
Strong software design capability</li><li>
Fast execution and delivery orientation</li><li>
Excellent communication and documentation skills</li><li>
Ability to work in fast-paced enterprise environments</li></ul></div>

Senior AI Product Engineer

TAWANTECH

<div>Job Summary
We are seeking an AI Software Engineer with hands-on experience in Large Language Models (LLMs) and Generative AI technologies to develop intelligent solutions that enhance customer experience, operational efficiency, and knowledge management within the banking sector.
Key Responsibilities<ul><li>Design, develop, and deploy AI-powered applications leveraging LLMs and Generative AI.</li><li>Build Retrieval-Augmented Generation (RAG) solutions using enterprise banking data.</li><li>Develop intelligent assistants, chatbots, and knowledge management solutions.</li><li>Integrate AI services with banking applications and APIs.</li><li>Fine-tune, evaluate, and optimize LLM performance.</li><li>Ensure compliance with banking security, governance, and regulatory requirements.</li><li>Collaborate with business, data, and technology teams to deliver AI-driven solutions.</li></ul> 
Requirements<ul><li> 
4+ years of software engineering experience.</li><li>Strong Python programming skills.</li><li>Experience with LLMs, Generative AI, and Prompt Engineering.</li><li>Experience with LangChain, LlamaIndex, Vector Databases, and RAG architectures.</li><li>Familiarity with machine learning frameworks and AI deployment practices.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is preferred.</li></ul>
Preferred Qualifications<ul><li>Banking or Financial Services experience.</li><li>Experience developing AI copilots or customer-facing AI solutions.</li><li>Knowledge of AI governance and responsible AI practices.</li></ul></div>

AI Software Engineer / LLM Engineer

Talent 360

<div>About Us 
We are building the next-generation Office of the CFO that simplifies finance for all businesses. 
SiFi is a corporate expense management platform designed to empower accounting teams with seamless control over corporate spending. Our platform allows companies to issue cards with specific spending restrictions, ensuring funds are used efficiently and only for approved expenses. 
As we scale, trusted data becomes core infrastructure powering financial correctness, operational visibility, and AI-powered automation. 
About the Role 
We are looking for a Senior Data Engineer to help define and scale the foundation of SiFi&rsquo;s data platform. 
You will be part of the Data &amp; AI team and serve as a key partner to Finance, Product, Engineering, Operations, and Compliance. Your primary responsibility will be to design and own our data platform, modeling standards, and AI-ready infrastructure, ensuring that metrics are accurate, scalable, and trusted across the organization. 
This is a high-ownership role focused on building financial data infrastructure from first principles. 
This role is based in Saudi Arabia (Relocation). 
What You Will Own 
Data Modeling and Standards 
<ul><li>
Define and maintain scalable data models in SQL 
</li><li>
Establish structured warehouse layers and modeling best practices 
</li><li>
Own KPI definitions and ensure a single source of truth 
</li><li>
Ensure financial correctness and metric consistency</li></ul> 
Warehouse Architecture 
<ul><li>
Design and evolve our cloud data warehouse in BigQuery 
</li><li>
Own transformation workflows using dbt, SQLMesh, or similar tools 
</li><li>
Optimize performance, reliability, and cost 
</li><li>
Design and support production-grade AI/ML pipelines ensuring model performance, data integrity, and compliance.</li></ul> 
Reliability and Governance 
<ul><li>
Ensure data quality, integrity, and observability 
</li><li>
Implement access controls aligned with compliance requirements 
</li><li>
Build a scalable foundation ready for advanced analytics and AI</li></ul> 
Cross-Functional Impact 
<ul><li>
Translate business requirements into robust data systems 
</li><li>
Enable trusted reporting and BI across teams 
</li><li>
Support experimentation and AI-driven initiatives with well-structured datasets</li></ul> 

Requirements 
What We Are Looking For 
<ul><li>
5+ years of experience in Data Engineering or Analytics Engineering 
</li><li>
Strong SQL expertise with hands-on data modeling experience 
</li><li>
Experience with cloud data warehouses such as BigQuery 
</li><li>
Experience with modern transformation frameworks such as dbt or SQLMesh 
</li><li>
Experience building or supporting production-grade AI/ML pipelines is a strong plus 
</li><li>
Ability to operate independently in a fast-moving startup 
</li><li>
Operates with high agency, taking end-to-end ownership of complex problems and delivering outcomes</li></ul></div>

Senior AI Data Engineer

Foodics

<div>
 
 Who Are We❓
 
 
 
 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'll collaborate with Data Engineers, Product Managers, and Platform teams to deliver production-grade models with real impact.
 
 
 
 What Will You Do❓
 
 
 
 <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 "you build it, you run it" approach, owning the full lifecycle of ML models from development through monitoring and continuous improvement
 
 
 </li>
 </ul>
 
 What Are We Looking For❓
 
 
 
 <ul>
 <li>
 5+ years' 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>
 
 What We Offer You❗
 
 
 
 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

MASTER-WORKS

<div>Our subsidiary (Nabeh) is seeking for an experienced and highly skilled Software Testing, Junior Engineer. Responsible for supporting QA activities by executing test cases, identifying defects, and ensuring adherence to defined quality standards under supervision.
Key Responsibilities<ul><li>
Execute test cases and document results</li><li>
Assist in preparing:</li><li><ul><li>
Test scenarios</li><li>
Test data</li></ul></li><li>
Perform:</li><li><ul><li>
Functional and basic integration testing</li><li>
Basic API testing (Postman)</li></ul></li><li>
Support validation of application behavior and basic AI outputs</li><li>
Log and track defects with clear evidence</li><li>
Participate in regression and smoke testing cycles</li><li>
Follow QA standards, processes, and guidelines</li><li>
Collaborate with team members for issue resolution</li></ul>
Requirements<ul><li>
1&ndash;3 years of experience</li><li>
Arabic Speaker (Mandatory)</li><li>
Basic understanding of software testing concepts</li><li>
Familiarity with test case writing and defect tracking</li><li>
Basic exposure to API testing tools (preferred)</li><li>
Willingness to learn automation and AI testing concepts</li><li>
Experience in Agile (preferred)</li></ul>
Certifications<ul><li>
ISTQB CTFL (Mandatory)</li></ul>
Language<ul><li>
Arabic (Native) &amp; English (Fluent)</li></ul>
Job Location: HQ</div>

Software Testing, Junior Engineer

AtkinsRéalis

<div><h2 class="jobSectionHeader">Overview</h2>
The Digital Transformation and AI Manager will be responsible for leading the integration of digital technologies and artificial intelligence into the Metro Project Management framework during its Operations &amp; Maintenance (O&amp;M) phase. This role is pivotal in driving innovation, enhancing operational efficiency, and supporting data-driven decision-making through AI-powered solutions.<h2 class="jobSectionHeader">
Your role</h2><ul><li>
Responsible for the development and execution of strategies to integrate digital technologies and AI into all aspects of Metro Project Management.</li><li>
Support the Employer in the design and deployment of AI-driven solutions aimed at project optimization, analytics, and monitoring.</li><li>
Collaborate with cross-functional teams to identify opportunities for digital enhancement and automation across operational workflows.</li><li>
Lead initiatives that leverage AI for predictive maintenance, performance tracking, and real-time data analysis.</li><li>
Ensure alignment of digital transformation efforts with project goals, regulatory standards, and stakeholder expectations.</li><li>
Monitor emerging technologies and trends to continuously improve the metro's digital and AI capabilities.</li></ul><h2 class="jobSectionHeader">
About you</h2>
Qualifications &amp; Experience<ul><li>
Bachelor'S or Master's degree in a relevant field such as Computer Science, Data Science, Engineering, or Information Technology.</li><li>
Minimum 10 years of experience in digital transformation, AI implementation, or technology integration, preferably within infrastructure or transport projects.</li><li>
Proven track record of deploying AI-driven solutions for operational optimization and performance analytics.</li><li>
Strong understanding of project management systems, data platforms, and AI tools applicable to large-scale transport operations.</li><li>
Excellent problem-solving, communication, and stakeholder engagement skills.</li></ul>
Preferred Attributes<ul><li>
Experience in metro or railway infrastructure projects.</li><li>
Familiarity with smart city technologies and intelligent transport systems.</li><li>
Certifications in AI, machine learning, or digital transformation frameworks.</li></ul><h2 class="jobSectionHeader">
Rewards &amp; benefits</h2>
Explore the rewards and benefits that help you thrive &ndash; at every stage of your life and your career.
This includes:<ul><li>
Tax-free salary.</li><li>
Life insurance coverage.</li><li>
Medical insurance.</li><li>
Annual leave balance.</li><li>
Company gratuity scheme.</li><li>
Discretionary bonus program.</li><li>
Annual flight contribution.</li><li>
Transportation &amp; housing allowances.</li><li>
Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</li></ul>
Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.<h2 class="jobSectionHeader">
About AtkinsR&eacute;alis</h2>
We're AtkinsR&eacute;alis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.</div>

Digital Transformation and AI Manager

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