ai engineer

artificial intelligence engineer Jobs in Riyadh

artificial intelligence engineer

agentic ai, engineer

ai & machine learning consultant Jobs in Riyadh

ai & machine learning consultant

ai & system engineer

generative ai engineer

MASTER-WORKS

<div><p>Master Works is looking for an <b>Agentic AI, Engineer </b>to join our growing team and design, build, and deploy agentic AI systems that can plan, reason, and act. The role covers both single-agent and multi-agent systems, as well as orchestration of workflows involving retrieval-augmented generation (RAG), context engineering, reasoning, tool calling, memory, and inter-agent communication. This role is ideal for a strong software engineer with hands-on AI/ML development experience and a passion for transforming generative AI models into reliable, goal-driven systems capable of solving complex, real-world business problems.</p><p></p>
Key Responsibilities:<p></p><ul><li>
Architect, build, and deploy agentic AI systems that integrate AI agents with foundation models, enterprise systems, third-party tools, and APIs using established agentic frameworks or custom-built orchestrators.</li><li>
Build and maintain retrieval-augmented generation (RAG), memory, and reasoning pipelines that ground agent decisions in reliable, real-world data and enable persistent, contextual, and adaptive behavior.</li><li>
Design single-agent and multi-agent workflows, including planning, delegation, tool selection, handoffs, inter-agent communication, and human-in-the-loop controls.</li><li>
Optimize orchestration and reasoning performance while balancing autonomy, latency, cost, interpretability, reliability, and maintainability.</li><li>
Collaborate with Generative AI engineers, application engineers, MLOps engineers, and product teams to move agentic AI solutions from prototype to production.</li><li>
Monitor, evaluate, and benchmark agent performance, and help ensure AI systems are safe, accurate, trustworthy, observable, and capable of delivering a high-quality user experience.</li><li>
Document agent architectures, communication flows, guardrails, context-engineering strategies, memory design, tool interfaces, and orchestration logic to ensure clarity and reproducibility.</li><li>
Stay current with advances in agentic AI, multi-agent orchestration, RAG, model-context protocols, cognitive architectures, evaluation methods, and AI safety mechanisms.</li><li>
Collaborate with cross-functional teams to design and deliver complete AI solutions for customers.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.</li><li>
2+ years of hands-on experience developing agentic AI systems, LLM-powered applications, or advanced Generative AI solutions.</li><li>
Preferably 5+ years of overall professional software engineering experience</li><li>
Contributions to open-source agentic AI frameworks, orchestration platforms, evaluation tooling, or agent communication protocols.</li><li>
Experience building microservices and deploying AI applications on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>
Experience with AI safety, guardrails, observability, traceability, evaluation, and explainability for agentic AI systems.</li><li>
Experience deploying LLM or agentic workloads in production using containers, Kubernetes, CI/CD pipelines, and modern MLOps or LLMOps practices.</li></ul><p></p><p><b>
Job Location: </b>HQ</p></div>

Agentic AI, Engineer

Accenture

<div><div><div><p><b>YOU ARE</b></p></div><div><p>
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle &mdash; assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps &amp; MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.</p></div><div><p><b>
THE WORK</b></p></div><div><ul><li><p>
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</p></li></ul></div><div><ul><li><p>
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</p></li></ul></div><div><ul><li><p>
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC</p></li></ul></div><div><ul><li><p>
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</p></li></ul></div></div><div><div><ul><li><p>
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</p></li></ul></div><div><ul><li><p>
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</p></li></ul></div><div><ul><li><p>
Justify the value of model approaches in business problems</p></li></ul></div><div><ul><li><p>
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</p></li></ul></div></div></div>
<br>
<div><div><p><b>EDUCATION</b></p></div><div><ul><li><ul><li>Bachelor's Degree or equivalent</li></ul></li></ul></div><div><p><b>
BASIC (REQUIRED) QUALIFICATION</b></p></div><div><ul><li><p>
Proven experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.</p></li></ul></div><div><ul><li><p>
Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</p></li></ul></div><div><ul><li><p>
Hands-on experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks</p></li></ul></div><div><ul><li><p>
Experience in building and deploying AI/ML based software to a cloud environment.</p></li></ul></div><div><p><b>
PREFERRED QUALIFICATION</b></p></div><div><ul><li><p>
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..</p></li></ul></div><div><ul><li><p>
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.</p></li></ul></div><div><ul><li><p>
Experience with the following programming languages: Python, C++, Java, R, SQL</p></li></ul></div><div><ul><li><p>
Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</p></li></ul></div><div><ul><li><p>
Strong client-facing skillsets in a consulting environment</p></li></ul></div><div><ul><li><p>
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</p></li></ul></div><div><ul><li><p>
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</p></li></ul></div><div><ul><li><p>
MS or PhD in related field preferred (computer science, engineering, etc.)</p></li></ul></div></div>

AI & Machine Learning Consultant

Mindstream

<p><b>HIRING &ndash; DATA SCIENTIST </b></p><p><b>Location:</b> Dhahran, Saudi Arabia<br/><b>Experience:</b> 6&ndash;14 Years</p><p><b>Mind Stream</b> is seeking a highly skilled and experienced <b>Data Scientist</b> to join our growing team. The successful candidate will play a key role in developing, productionizing, and scaling advanced <b>AI and Machine Learning solutions</b>, ranging from <b>Agentic AI workflows</b> to <b>Time-Series Forecasting and Anomaly Detection models</b>.</p><p><b>Key Responsibilities</b></p><ul><li>Design and deploy <b>Generative AI (GenAI)</b> solutions using <b>LLMs, RAG, and Vector Databases</b>.</li><li>Build multi-agent AI applications using <b>LangGraph, LangChain, CrewAI, and AutoGen</b>.</li><li>Develop and deploy <b>Time-Series Forecasting and Anomaly Detection</b> models.</li><li>Productionize ML models using <b>Python, FastAPI, MLflow, Docker, and Kubernetes</b>.</li><li>Collaborate on cloud infrastructure for AI/ML model deployment, scaling, and performance optimization.</li><li>Implement and maintain <b>MLOps practices</b> for end-to-end machine learning lifecycle management.</li></ul><p><b>Requirements</b></p><ul><li><b>6&ndash;14 years of professional experience</b> in Data Science, Machine Learning, or a related field.</li><li>Strong programming skills in <b>Python</b> with hands-on experience using <b>FastAPI</b>.</li><li>Experience with <b>GenAI technologies, LLMs, prompt engineering, RAG, and embeddings</b>.</li><li>Familiarity with <b>Agentic AI frameworks and multi-agent workflows</b>.</li><li>Hands-on experience with <b>Docker, Kubernetes, and CI/CD pipelines</b>.</li><li>Knowledge of <b>Cloud Platforms</b> and <b>MLOps practices</b>.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul><p>Application Question(s):</p><ul><li>How many years of professional experience do you have in Data Science, Machine Learning, or Artificial Intelligence?</li><li>How many years of hands-on experience do you have with Python?</li><li>Do you have professional experience developing APIs using FastAPI?</li><li>What is your level of experience with GenAI, LLMs, RAG, prompt engineering, and embeddings?</li><li>Do you have hands-on experience developing multi-agent AI applications or agentic workflows?</li><li>Do you have experience developing Time-Series Forecasting or Anomaly Detection models?</li><li>Do you have hands-on experience with MLflow, Docker, and Kubernetes?</li><li>Do you have experience with CI/CD pipelines and MLOps practices?</li><li>Which cloud platforms have you worked with? (AWS / Azure / GCP / Other)</li><li>Have you productionized and deployed Machine Learning or AI models at scale?</li><li>Are you willing to work full-time in Dhahran, Saudi Arabia?</li><li>What is your notice period or earliest joining date?</li><li>What is your current and expected monthly salary in SAR?</li></ul><p>Work Location: In person</p>

DATA SCIENTIST

Globant

<div><p>At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.<br>
</p><p></p><p>We are looking for an experienced Technical Project Manager to lead the delivery of a technology program for a premier banking institution in the UAE. This role sits at the intersection of technical delivery, agile program governance, and regulatory compliance. It requires someone equally comfortable running sprint ceremonies as they are briefing senior banking stakeholders on risk and delivery status.
</p><p>The successful candidate will manage the end-to-end delivery of software initiatives&mdash;including emerging AI agentic solutions&mdash;within a highly regulated banking environment, ensuring alignment with regulatory standards, PCI DSS compliance, and internal governance frameworks.
</p><p><b>Key Responsibilities
</b></p><ul><li><p>Own end-to-end delivery of technical projects and programs, managing scope, timeline, budget, and quality across multiple concurrent workstreams.
</p></li><li><p>Run and continuously improve Agile ceremonies (sprint planning, backlog refinement, stand-ups, reviews, retrospectives) across cross-functional engineering, product, and QA teams.
</p></li><li><p>Manage program governance by maintaining RAID logs (risks, assumptions, issues, dependencies), tracking cross-team dependencies, and driving timely risk mitigation.
</p></li><li><p>Act as the primary point of coordination between the delivery team and client stakeholders, translating technical progress into clear, business-relevant updates for senior executives.
</p></li><li><p>Oversee delivery of AI agentic and software engineering initiatives, working closely with engineering leads to ensure technical feasibility, architecture decisions, and realistic timelines.
</p></li><li><p>Ensure all delivery activities comply with regional central bank regulatory requirements, PCI DSS standards, and internal information security/audit policies.
</p></li><li><p>Coordinate SIT, UAT, and security/penetration testing phases, ensuring clear ownership between delivery and regulatory sign-off teams.
</p></li><li><p>Prepare and present executive-level reporting (steering committee decks, scope trackers, roadmaps, RAG status reports) tailored to senior banking leadership.
</p></li><li><p>Facilitate change management and governance ceremonies to document and approve scope changes, decisions, and commercial impacts through proper channels.
</p></li><li><p>Proactively identify delivery blockers, ambiguities, and process gaps (e.g., SLA gaps, terminology misalignment) and drive them to resolution before they impact delivery timelines.
</p></li></ul><p><b>Required Skills &amp; Experience
</b></p><ul><li><p>9+ years of project/program management experience, with a strong track record of delivering technology projects within financial services or banking.
</p></li><li><p>Proven hands-on experience managing Agile software development delivery (Scrum/Kanban/SAFe), including sprint governance, backlog management, and release planning.
</p></li><li><p>Exposure to AI agentic systems or generative AI product development (e.g., multi-agent orchestration, agentic workflows, or AI assistant platforms).
</p></li><li><p>Working knowledge of banking regulatory frameworks (including CBUAE standards, PCI DSS, and compliance coordination).
</p></li><li><p>Strong command of Agile governance disciplines: risk management, dependency tracking, RAID logs, and RACI frameworks in multi-vendor or client/delivery-partner environments.
</p></li><li><p>Excellent stakeholder communication skills with the ability to translate complex technical topics for executive audiences.
</p></li><li><p>Experience utilizing tools such as Jira, Linear, Confluence, or equivalent project tracking systems.
</p></li><li><p>Bachelor's degree in Computer Science, Information Technology, Business, or a related field.
</p></li></ul><p><b>Preferred Qualifications
</b></p><ul><li><p>Certifications: PMP, PRINCE2, PMI-ACP, CSM, or SAFe.
</p></li><li><p>Prior experience delivering technology programs directly for or within a UAE/GCC banking institution.
</p></li><li><p>Familiarity with KYC/AML workflows, financial data connectivity, or regulatory auditability requirements for AI systems.
</p></li><li><p>Experience managing multi-vendor delivery models (client + consulting partner) in regulated industries.
</p></li></ul><p>This job can be filled in <b>Dubai/UAE </b>.<br>
</p><p></p><p>Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively.
</p><p>We may use AI and machine learning technologies in our recruitment process. Globant is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. Globant is also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
</p><p>Final compensation offered is based on multiple factors such as the specific role, hiring location, as well as individual skills, experience, and qualifications. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about life at Globant here: Globant Experience Guide .</p></div>

Tech Project Manager

HALA

<div>
 <p>
  <strong>
   Who Are We
  </strong>
 </p>
 <p>
  <br/>
  HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools.
 </p>
 <p>
  <br/>
  HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations.
 </p>
 <p>
  <br/>
  Founded in 2017, HALA is currently licensed by the Saudi Arabian Central Bank.
 </p>
 <p>
  &nbsp;
 </p>
 Job Summary
 <p>
  The Software/AI Engineer , Compliance Technology is responsible for designing, developing, and maintaining technology, automation, and AI-enabled solutions that enhance the effectiveness, efficiency, and governance of Compliance operations. The role translates regulatory and business requirements into scalable technical solutions and supports areas including AML, KYC, fraud prevention, regulatory reporting, risk, and governance. The position also contributes to the responsible adoption of AI through appropriate governance, risk assessment, monitoring, and human oversight.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 Responsibilities&nbsp;
 <ul>
  <li>
   Design and develop technology solutions that automate and enhance Compliance processes.
  </li>
  <li>
   Build AI-powered tools to improve compliance monitoring, investigations, and regulatory reporting.
  </li>
  <li>
   Develop and maintain integrations, APIs, and internal applications supporting Compliance systems.
  </li>
  <li>
   Identify automation opportunities and translate compliance requirements into technical solutions.
  </li>
  <li>
   Implement AI, workflow automation, and RegTech solutions to improve operational efficiency.
  </li>
  <li>
   Develop dashboards and analytics that support compliance decision-making and regulatory reporting.
  </li>
  <li>
   Ensure solutions comply with cybersecurity, data privacy, and regulatory requirements.
  </li>
  <li>
   Collaborate with Compliance, Technology, Risk, and Information Security teams on system enhancements.
  </li>
  <li>
   Maintain and optimize compliance applications, ensuring reliability, performance, and scalability.
  </li>
  <li>
   Support audits and regulatory examinations by providing technical documentation and system evidence.
  </li>
  <li>
   Research and recommend emerging AI and compliance technologies to drive continuous improvement.
  </li>
  <li>
   Establish and maintain AI governance controls for Compliance use cases, ensuring responsible, transparent, and compliant use of AI technologies.
  </li>
  <li>
   Conduct AI risk assessments to identify and mitigate risks related to model accuracy, bias, data privacy, security, and regulatory compliance.
  </li>
  <li>
   Monitor and validate AI models and automated solutions on an ongoing basis to ensure accuracy, effectiveness, reliability, and appropriate human oversight.
  </li>
  <li>
   Ensure data quality and governance across Compliance systems and AI solutions, including data accuracy, integrity, access controls, and auditability.
  </li>
  <li>
   Leverage AI and automation to support regulatory change management, including identifying regulatory updates, assessing their impact, and supporting implementation and tracking of required actions.
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  What We Offer You
  <br/>
 </strong>
 <strong>
  We believe you will love working at HALA!
 </strong>
 <ul>
  <li>
   We have an inclusive and diverse culture that encourages innovation and flexibility in remote, in-office, and hybrid work setups.
  </li>
  <li>
   We offer highly competitive compensation packages, including 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 7 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>
  <li>
   You will be given a lot of responsibility and trust.&nbsp;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>
 </ul>
 &nbsp;
 <strong>
  If you think you have what it takes to join a remarkable team #apply_now&nbsp;
 </strong>
 <p>
  &nbsp;
 </p>
</div>


AI & System Engineer

Tabby | تابي

<div>
 <strong>
  Department:
 </strong>
 Customer Happiness, Engineering
 <br/>
 <br/>
 <strong>
  Employment Type:
 </strong>
 Internship
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 KSA
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Tabby builds financial products used by millions of users across the GCC. Alongside core fintech products, we are actively building internal platforms for AI agents and LLM-based automation used across the company.
 <br/>
 <br/>
 This internship is not educational by default. It is an engineering-adjacent role with real production impact.
 <br/>
 <br/>
 The AI Agents Platform team builds an internal platform that allows teams across Tabby to create, run, evaluate, and iterate on AI agents. These agents automate real human workflows: customer support, operations, fraud checks, data validation, and internal tooling.
 <br/>
 <br/>
 The platform is young, evolving fast, and already used by multiple teams. The internship is designed for candidates who are comfortable working in ambiguous, experimental environments and can think in systems rather than isolated tasks.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 This is not a demo or experimentation-only role. Interns work on real agents, workflows, and internal tools.
 <br/>
 <br/>
 <ul>
  <li>
   Build AI agents and automations using internal no-code and low-code tooling
  </li>
  <li>
   Configure agent workflows, tools, and orchestration logic
  </li>
  <li>
   Integrate agents with internal systems via APIs and tools
  </li>
  <li>
   Participate in designing agent architectures and workflows
  </li>
  <li>
   Help test, evaluate, and iterate on agent behavior and quality
  </li>
  <li>
   Work with datasets and evaluation results to improve agent performance
  </li>
  <li>
   Document agent logic, workflows, and best practices
  </li>
  <li>
   Work closely with platform engineers, product managers, and internal users
  </li>
  <li>
   Strong logical and systems thinking
  </li>
  <li>
   Ability to break down human workflows into structured steps
  </li>
  <li>
   Understanding of how web services, APIs, and tools interact
  </li>
  <li>
   Experience with no-code or low-code platforms
  </li>
  <li>
   Basic understanding of data formats (JSON), APIs, and webhooks
  </li>
  <li>
   Ability to reason about edge cases, failure modes, and correctness
  </li>
  <li>
   High level of ownership and responsibility
  </li>
  <li>
   Comfort with fast iteration and experimental environments
  </li>
  <li>
   English sufficient for documentation and team communication
  </li>
  <li>
   Experience with LLMs, AI agents, or automation
  </li>
  <li>
   Experience building internal tools or automations
  </li>
  <li>
   Experience with Python
  </li>
  <li>
   Education in data science, machine learning field
  </li>
  <li>
   Understanding of prompt design or agent orchestration concepts
  </li>
  <li>
   Familiarity with evaluation, testing, or quality metrics
  </li>
  <li>
   Curiosity about AI system behavior and limitations
  </li>
  <li>
   Expert-level knowledge of LLMs, agent frameworks, or prompt engineering
  </li>
  <li>
   Prior professional AI, automation, or platform engineering experience
  </li>
  <li>
   Mastery of all listed no-code platforms or LLM tooling
  </li>
  <li>
   Deep knowledge of ML internals, model training, or RAG architectures
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Skills, Knowledge &amp; Expertise
 <br/>
 <br/>
 <ul>
  <li>
   Saudi nationals only
  </li>
  <li>
   Self-funded internship by Tabby
  </li>
  <li>
   We welcome both current students and fresh grads
  </li>
  <li>
   We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Format
 <br/>
 <br/>
 <ul>
  <li>
   Paid internship
  </li>
  <li>
   Full integration into the automations building team
  </li>
  <li>
   Distributed engineering team across multiple countries
  </li>
  <li>
   Open to Saudi nationals (Saudi passport required); location flexible &mdash; candidates may be based outside KSA
  </li>
  <li>
   Office-first in Riyadh where possible
  </li>
  <li>
   Clear path to a junior AI automation, no-code engineer, or platform role based on performance
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 This internship is intentionally demanding and designed for candidates aiming for fast professional growth in AI agents and automation engineering.
</div>


AI Intern

<div>
 <p>
  <strong>
   Department:
  </strong>
  Customer Happiness, Engineering
 </p>
 <p>
  <strong>
   Location:
  </strong>
  KSA
  <br/>
  <br/>
 </p>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 About the companyTabby builds financial products used by millions of users across the GCC. Alongside core fintech products, we are actively building internal platforms for AI agents and LLM-based automation used across the company.
 <br/>
 <br/>
 This internship is not educational by default. It is an engineering-adjacent role with real production impact.
 <br/>
 <br/>
 ContextThe AI Agents Platform team builds an internal platform that allows teams across Tabby to create, run, evaluate, and iterate on AI agents. These agents automate real human workflows: customer support, operations, fraud checks, data validation, and internal tooling.
 <br/>
 <br/>
 The platform is young, evolving fast, and already used by multiple teams. The internship is designed for candidates who are comfortable working in ambiguous, experimental environments and can think in systems rather than isolated tasks.
 <br/>
 <br/>
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 What you will doThis is not a demo or experimentation-only role. Interns work on real agents, workflows, and internal tools.
 <br/>
 <br/>
 <ul>
  <li>
   Build AI agents and automations using internal no-code and low-code tooling
  </li>
  <li>
   Configure agent workflows, tools, and orchestration logic
  </li>
  <li>
   Integrate agents with internal systems via APIs and tools
  </li>
  <li>
   Participate in designing agent architectures and workflows
  </li>
  <li>
   Help test, evaluate, and iterate on agent behavior and quality
  </li>
  <li>
   Work with datasets and evaluation results to improve agent performance
  </li>
  <li>
   Document agent logic, workflows, and best practices
  </li>
  <li>
   Work closely with platform engineers, product managers, and internal users
  </li>
 </ul>
 Required
 <ul>
  <li>
   Strong logical and systems thinking
  </li>
  <li>
   Ability to break down human workflows into structured steps
  </li>
  <li>
   Understanding of how web services, APIs, and tools interact
  </li>
  <li>
   Experience with no-code or low-code platforms
  </li>
  <li>
   Basic understanding of data formats (JSON), APIs, and webhooks
  </li>
  <li>
   Ability to reason about edge cases, failure modes, and correctness
  </li>
  <li>
   High level of ownership and responsibility
  </li>
  <li>
   Comfort with fast iteration and experimental environments
  </li>
  <li>
   English sufficient for documentation and team communication
  </li>
 </ul>
 Strong plus
 <ul>
  <li>
   Experience with LLMs, AI agents, or automation
  </li>
  <li>
   Experience building internal tools or automations
  </li>
  <li>
   Experience with Python
  </li>
  <li>
   Education in data science, machine learning field
  </li>
  <li>
   Understanding of prompt design or agent orchestration concepts
  </li>
  <li>
   Familiarity with evaluation, testing, or quality metrics
  </li>
  <li>
   Curiosity about AI system behavior and limitations
  </li>
 </ul>
 What we do not expect
 <ul>
  <li>
   Expert-level knowledge of LLMs, agent frameworks, or prompt engineering
  </li>
  <li>
   Prior professional AI, automation, or platform engineering experience
  </li>
  <li>
   Mastery of all listed no-code platforms or LLM tooling
  </li>
  <li>
   Deep knowledge of ML internals, model training, or RAG architectures
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills, Knowledge &amp; Expertise
  <br/>
  <br/>
 </strong>
 Eligibility
 <ul>
  <li>
   Saudi nationals only
  </li>
  <li>
   Self-funded internship by Tabby
  </li>
  <li>
   We welcome both current students and fresh grads
  </li>
  <li>
   We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Format
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Paid internship
  </li>
  <li>
   Full integration into the automations building team
  </li>
  <li>
   Distributed engineering team across multiple countries
  </li>
  <li>
   Open to Saudi nationals (Saudi passport required); location flexible &mdash; candidates may be based outside KSA
  </li>
  <li>
   Office-first in Riyadh where possible
  </li>
  <li>
   Clear path to a junior AI automation, no-code engineer, or platform role based on performance
  </li>
 </ul>
 This internship is intentionally demanding and designed for candidates aiming for fast professional growth in AI agents and automation engineering.
 <br/>
 <br/>
</div>


Explore 25+ Generative ai engineer in Riyadh this August. Find roles across top companies and apply now to boost your career.

25 generative ai engineer jobs In Riyadh

Agentic AI, Engineer

AI & Machine Learning Consultant

DATA SCIENTIST

Tech Project Manager

AI & System Engineer

AI Intern

AI Intern