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ai engineer

Lenks.ai

<p>We are hiring an <b>AI Engineer</b> to support the development of advanced AI capabilities within <b>Lenks.ai</b>. In this role, you will work on integrating LLMs, building AI agents, implementing RAG-based systems, and developing end-to-end AI features that directly impact our video-conferencing platform. The ideal candidate is a hands-on engineer who can translate ideas into production-ready solutions efficiently.</p><p><b>Qualifications:</b></p><ul><li>Proficiency in TypeScript and Node.js</li><li>Experience with Google Vertex AI (Gemini models)</li><li>Strong background in LLM integration and prompt engineering</li><li>Familiarity with AI agent frameworks (LangChain.js, LlamaIndex, or similar)</li><li>Understanding of RAG concepts (embeddings, retrieval, vector search)</li><li>Experience with PostgreSQL and pgvector or similar vector databases</li><li>Workflow automation experience (n8n or equivalent)</li><li>Ability to build end-to-end solutions across backend, AI pipelines, and product integration</li></ul><p>Job Type: Full-time</p><p>Pay: ﷼8,000.00 - ﷼10,000.00 per month</p>

Ai Engineer

Anoware

<p><b>Job Title: Full-Time Development Team for EdTech MVP (3-Month Launch)</b></p><p>We are building an AI-powered EdTech platform and are hiring a <b>high-performance development team</b> to deliver a complete MVP within <b>90 days</b>.<br/>We are looking for skilled developers and designers who can work fast, communicate clearly, and deliver production-quality work.</p><p><b>Open Roles1. Backend Developer &mdash; Node.js</b></p><p><b>Requirements:</b></p><ul><li>Strong experience with Node.js + Express</li><li>REST API development</li><li>PostgreSQL or MongoDB</li><li>Authentication, subscriptions, payments</li><li>AI API integration is a plus</li></ul><p><b>2. Frontend Developer &mdash; React.js</b></p><p><b>Requirements:</b></p><ul><li>Experience building dashboards and web apps</li><li>Strong API integration skills</li><li>Clean, modular code</li><li>Familiar with modern UI libraries</li></ul><p><b>3. Mobile Developer &mdash; React Native</b></p><p><b>Requirements:</b></p><ul><li>Experience building iOS &amp; Android apps</li><li>Strong UI implementation</li><li>Experience with video, quizzes, in-app logic</li><li>Ability to optimize performance</li></ul><p><b>4. UI/UX Designer (Figma)</b></p><p><b>Requirements:</b></p><ul><li>Strong portfolio in SaaS or EdTech</li><li>Ability to deliver full UI kit and flows</li><li>Mobile-first design thinking</li><li>Fast turnaround</li></ul><p><b>5. AI Engineer (NLP + APIs)</b></p><p><b>Requirements:</b></p><ul><li>Experience with GPT-based APIs</li><li>Ability to build AI tutoring and scoring logic</li><li>Python or Node.js integration</li><li>Basic understanding of NLP models</li></ul><p><b>6. QA Tester</b></p><p><b>Requirements:</b></p><ul><li>Experience testing mobile + web apps</li><li>Ability to write clear bug reports</li><li>Ensure product stability before launch</li></ul><p><b>Team Responsibilities</b></p><ul><li>Build the full EdTech MVP within 90 days</li><li>Implement mobile app + web dashboard + backend</li><li>Integrate AI tutoring features</li><li>Implement quizzes, lessons, and progress tracking</li><li>Deliver stable, production-ready code</li><li>Work in weekly sprints with consistent updates</li></ul><p><b>Contract Details</b></p><ul><li>Full-time for 3 months</li><li>Remote work</li><li>Performance-based extensions available</li><li>Long-term collaboration opportunity for strong performers</li></ul><p>Job Type: Full-time</p><p>Pay: ﷼1.00 - ﷼1,500.00 per month</p>

Software Developer

Takamol Holding

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop, test, and deploy machine learning models and AI services to support various business initiatives.
  </li>
  <li>
   Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions into existing systems.
  </li>
  <li>
   Optimize AI models for accuracy, scalability, and efficiency.
  </li>
  <li>
   Integrate relevant AI SaaS-based services with existing or new products such as generative AI, vector databases and RAG solutions.
  </li>
  <li>
   Stay updated with the latest AI research and technologies to recommend innovative solutions.
  </li>
  <li>
   Assist in the quality control, deployment and monitoring of AI services in production environments.
  </li>
  <li>
   Ensure compliance with data privacy, security, and ethical standards related to AI.
  </li>
  <li>
   Document AI assets, workflows, and technical specifications.
  </li>
  <li>
   Support AI-related research and development projects.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
  </li>
  <li>
   Strong programming skills in Python, R, or similar languages.
  </li>
  <li>
   Experience with ML frameworks and AI cloud services such as Vertex AI and others.
  </li>
  <li>
   Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  </li>
  <li>
   Familiarity with cloud platforms (Azure, AWS, GCP) for AI deployment is preferred.
  </li>
  <li>
   Understanding of deep learning, NLP, computer vision, or other AI subfields is a plus.
  </li>
  <li>
   Strong analytical, problem-solving, and communication skills.
   <br/>
   <br/>
  </li>
 </ul>
</div>


AI Engineering Officer

Master Works

<div>
 <strong>
  Role Summary
  <br/>
  <br/>
 </strong>
 The Expert Data Scientist is responsible for developing advanced AI and machine learning models, performing complex data analysis, designing end-to-end AI solutions, and supporting technical teams in delivering data-driven initiatives. The role requires strong technical expertise, analytical depth, and the ability to translate data into impactful solutions.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
 </strong>
 <strong>
  <strong>
   2. Solution Implementation
  </strong>
 </strong>
 <strong>
  <strong>
   3. Technical Project Support
  </strong>
 </strong>
 <strong>
  <strong>
   4. Documentation &amp; Reporting
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Data Analysis &amp; Modeling
  </li>
  <li>
   Collect, clean, transform, and analyze data from different sources.
  </li>
  <li>
   Perform exploratory data analysis (EDA) to identify trends and patterns.
  </li>
  <li>
   Design, develop, and validate machine learning and AI models.
  </li>
  <li>
   Select appropriate algorithms and techniques for each use case.
  </li>
  <li>
   Evaluate model performance using industry-standard metrics (Accuracy, Precision, Recall, F1, AUC).
  </li>
  <li>
   Optimize and fine-tune models to enhance performance.
  </li>
  <li>
   Deploy machine learning models into production environments.
  </li>
  <li>
   Collaborate with Data Engineers and MLOps engineers on pipelines and deployment workflows.
  </li>
  <li>
   Build scalable data pipelines for processing large datasets.
  </li>
  <li>
   Monitor and update deployed models to ensure continuous performance.
  </li>
  <li>
   Provide expert consultation on AI solutions and model design.
  </li>
  <li>
   Identify required data sources and support the data acquisition process.
  </li>
  <li>
   Participate in technical discussions with clients and internal teams.
  </li>
  <li>
   Support User Acceptance Testing (UAT) from a technical perspective.
  </li>
  <li>
   Document modeling processes, methodologies, and analytical results.
  </li>
  <li>
   Prepare technical reports and present findings clearly to technical and non-technical audiences.
  </li>
  <li>
   Maintain proper documentation for model design and deployment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Language Requirement:
 </strong>
 Fluent Arabic (mandatory)
 <br/>
 <br/>
 <strong>
  Experience Level:
 </strong>
 5+ years in Data Science / AI / Machine Learning
 <br/>
 <br/>
 <strong>
  Sector:
 </strong>
 AI projects, digital transformation, advanced analytics
 <br/>
 <br/>
 <strong>
  Education:
 </strong>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field
 <br/>
 <br/>
 <strong>
  Preferred Certifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Machine Learning / Deep Learning
  </li>
  <li>
   Data Science Certifications
  </li>
  <li>
   AI &amp; ML specializations
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep knowledge of machine learning, deep learning, and data science methodologies.
  </li>
  <li>
   Strong proficiency in:
  </li>
  <ul>
   <li>
    Python (essential)
   </li>
  </ul>
  <li>
   Experience with ML and data libraries:
  </li>
  <ul>
   <li>
    TensorFlow or PyTorch
   </li>
   <li>
    Scikit-learn
   </li>
   <li>
    Pandas, NumPy
   </li>
  </ul>
  <li>
   Hands-on experience with visualization tools:
  </li>
  <ul>
   <li>
    Power BI, Tableau
   </li>
  </ul>
  <li>
   Understanding of MLOps concepts and data engineering fundamentals.
  </li>
  <li>
   Experience working with large datasets and implementing data mining techniques.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Previous experience in Saudi Arabia (public or private sector).
  </li>
  <li>
   Experience in AI projects involving vision, NLP, or sensor data.
  </li>
  <li>
   Familiarity with end-to-end AI development lifecycle
  </li>
 </ul>
</div>


Expert Data Scientist

Confidential Semi-Government

<div>
 <p>
  <strong>
   Job Purpose
  </strong>
 </p>
 <p>
  The role holder is responsible for advancing AI innovation, developing cutting-edge AI solutions, and managing data monetization opportunities. This includes building AI product repositories, contributing to AI strategy, and fostering external partnerships. The role holder shall carry out their duties in accordance with the stipulated business policies and procedures.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Responsibility
  </strong>
 </p>
 <ul>
  <li>
   Build expertise dedicated to driving innovation and experimentation in the field of AI (e.g., review latest technological advancements, new techniques of emerging technologies that could impact AI applications and methodologies, etc.)
  </li>
  <li>
   Research, develop and deploy sophisticated, cutting-edge AI solutions AI solutions/products that offer foundational capabilities to the company, its subsidiaries, external partners and other stakeholders (e.g., multi-agent system frameworks for deploying conversational virtual assistants) in alignment with Group Architecture &amp; Technologies Enablement GD
  </li>
  <li>
   Collaborate with business units to identify monetization opportunities for data (and subsidiaries)
  </li>
  <li>
   Lead initiatives on using the company data resources to build partnerships with external entities
  </li>
  <li>
   Build and and maintain a repository/registry of AI and Data products that can be utilized across various teams within the company, its subsidiaries, external partners and other stakeholders (e.g., Customer 360, Network RAN 360 etc.), perform asset management activities
  </li>
  <li>
   Provide inputs for AI &amp; Analytics strategy, ensuring alignment with the long-term AI-related goals
  </li>
  <li>
   Create publications and partnerships to position the company as an AI thought leader
  </li>
  <li>
   Establish and maintain collaborations with academia, industry leaders, and technology experts to enhance innovation in alignment with Innovation &amp; Emerging Technologies department
  </li>
  <li>
   Experience in AI development, data monetization, and partnership preferably within telecommunications or technology industry.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Years of Experience
  </strong>
 </p>
 <ul>
  <li>
   A minimum of 8 years of relevant experience with at least 3 - 4 years of experience in a similar role.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <p>
  Bachelor Degree in Information Technology or Computer Science
 </p>
</div>


AI & Analytics Research and Innovation Division Head

Capgemini

<div><div><div><p>RIYADH</p><div>
Embedded Software Engineer</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.</p><div><div><div><div>
Your Role</div></div><div><p>
We are looking for an Embedded Software Engineer &ndash; AI-Powered Firmware for IoT Devices to join our team in Al Khobar, Saudi Arabia. You will be responsible for developing, installing, and maintaining AI-powered firmware for IoT devices, ensuring seamless integration and optimized performance. If you thrive in a fast-paced, innovative environment, this role is for you!</p><p>
Key Responsibilities</p><ul><li>
Firmware Development: Design, develop, and optimize AI-powered firmware for IoT devices.</li><li>
Integration &amp; Testing: Integrate firmware with hardware and IoT platforms, conducting rigorous system testing.</li><li>
Real-Time Data Processing: Implement low-latency data processing and model compression techniques.</li><li>
Sensor &amp; Actuator Integration: Ensure reliable, power-efficient sensor and actuator operation.</li><li>
AI Model Deployment: Develop and deploy AI models within embedded firmware for enhanced device intelligence.</li></ul></div></div><div><div><div>
Your Profile</div></div><div><ul><li>
Experience: 5+ years in embedded software development, preferably in IoT.</li><li>
Technical Skills:</li><ul><li>
Proficiency in C, C++, Python, and Rust.</li><li>
Strong knowledge of embedded systems, RTOS, and IoT communication protocols.</li><li>
Familiarity with IoT platforms (e.g., Azure IoT, AWS IoT).</li></ul><li>
Soft Skills:</li></ul><ul><li>
Strong problem-solving, teamwork, and communication abilities.</li></ul></div></div><div><div><div>
What You&rsquo;ll Love About Working Here</div></div><div><ul><li>
Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.</li><li>
Career Growth Opportunities&mdash;Access diverse roles and career development programs.</li><li>
Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.</li></ul></div></div></div><p>
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
284560-en_US</div></div><div><div>
Posted on</div><div>
17 Jul 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Fixed Term Contract</div></div><div><div>
Location</div><div>
RIYADH</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

Embedded Software Engineer

Tarjama&

<div><p>The DevOps Engineer will play a mission-critical role owning the deployment, scalability, security, and reliability of AI systems and digital platforms. This role has a strong focus on <b>LLM deployments, AI workloads, and cloud-native infrastructure</b>, ensuring that all AI and software systems operate with enterprise-grade availability, performance, and compliance.</p><p><b>
Key Responsibilities</b></p><p><b>
CI/CD &amp; Automation Engineering</b></p><ul>
<li>
Design, build, and maintain <b>CI/CD pipelines</b> for AI models, LLM services, and software applications.</li>
<li>Automate build, test, deployment, and environment configuration workflows to enable rapid and reliable releases.</li>
</ul><p><b>
AI &amp; LLM Deployment Operations</b></p><ul>
<li>
Deploy, operate, and scale <b>AI systems, LLM APIs, inference workloads, and cloud-based AI services</b>.</li>
<li>Ensure high availability, horizontal scalability, and low-latency inference across all production environments.</li>
</ul><p><b>
Infrastructure, Reliability &amp; Cost Optimization</b></p><ul>
<li>
Monitor infrastructure performance, system health, and AI workloads using observability and monitoring tools.</li>
<li>Optimize infrastructure for <b>reliability, performance, and cloud cost efficiency</b>.</li>
</ul><p><b>
Security, Compliance &amp; Governance</b></p><ul>
<li>
Implement and enforce <b>security best practices, access controls, secrets management, and environment isolation</b>.</li>
<li>Ensure infrastructure and deployment processes align with <b>national data governance, compliance, and cybersecurity standards</b>.</li>
</ul><p><b>
Cross-Functional Enablement</b></p><ul>
<li>
Collaborate closely with <b>AI Engineers, Full-Stack Engineers, and Product teams</b> to enable seamless, scalable deployments.</li>
<li>Act as the primary technical owner for production reliability during mission-critical deployments.</li>
</ul><p><b>
Documentation &amp; Architecture Standards</b></p><ul>
<li>
Maintain comprehensive documentation for <b>DevOps workflows, system architecture, environments, and deployment standards</b>.</li>
<li>Ensure operational readiness, auditability, and knowledge transfer across teams.</li>
</ul><p><b>
Required Qualifications</b></p><ul>
<li>
Minimum <b>5 years of hands-on DevOps engineering experience</b> in production environments.</li>
<li><b>Mandatory:</b> Proven experience deploying and operating <b>AI systems and LLM-based workloads</b> in production.</li>
<li>Strong hands-on expertise with <b>Docker, Kubernetes, CI/CD platforms, and cloud services</b>.</li>
<li>Experience with <b>monitoring, observability, logging, and infrastructure-as-code</b> (e.g., Terraform, similar tools).</li>
<li>Strong understanding of <b>networking, security, and cloud-native architecture principles</b>.</li>
<li>Excellent troubleshooting and incident response capabilities in high-availability systems.</li>
</ul><p><b>
Preferred Qualifications</b></p><ul>
<li>
Experience with <b>MLOps platforms</b> such as <b>MLflow, SageMaker, Vertex AI</b>, or similar.</li>
<li>Proven experience <b>scaling AI and LLM applications</b> in high-traffic production environments.</li>
<li>Exposure to <b>AI model lifecycle management, retraining pipelines, and operational governance</b>.</li>
<li>Experience in <b>government, regulated, or national-scale enterprise environments</b>.</li>
</ul><p><b>
KPIs &amp; Deliverables</b></p><ul>
<li>
<b>Uptime, reliability, and stability</b> of AI platforms and production systems.</li>
<li><b>Deployment speed, automation maturity, and release reliability</b>.</li>
<li>Infrastructure <b>performance, scalability, and cost optimization efficiency</b>.</li>
<li>Security posture and compliance readiness across all environments.</li>
<li>Quality, completeness, and audit readiness of <b>DevOps documentation and workflows</b>.</li></ul></div><p></p>

DevOps Engineer

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