artificial intelligence engineer

Özyeğin University

<div>
 
 We are looking for an innovative AI Engineer who will design, develop, and deploy artificial intelligence (AI) and data analytics-based applications aligned with our organization's strategic goals.
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Engineering, Software Engineering, Data Science, or related fields
 </li>
 <li>
 Minimum 3 years of experience in AI and data analytics.
 </li>
 <li>
 Advanced programming skills in Python, R, or related languages.
 </li>
 <li>
 Experience in RAG architectures, agentic chatbot systems, and LLM models.
 </li>
 <li>
 Knowledge of vector databases (Pinecone, Qdrant, Pgvector, etc.).
 </li>
 <li>
 Experience with workflow tools such as Flowise, n8n, or similar.
 </li>
 <li>
 Competency in API development and microservice architectures.
 </li>
 <li>
 Proficiency in SQL, including querying, creating views/tables, functions, and stored procedures
 </li>
 <li>
 Strong problem-solving, analytical thinking, and communication skills.
 </li>
 <li>
 Fluent in English, both written and spoken.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Develop Retrieval-Augmented Generation (RAG) architectures and agentic chatbot systems, integrating them with existing corporate information systems.
 </li>
 <li>
 Utilize vector databases such as Pinecone, Qdrant, and Pgvector to create data indexing, semantic search, information retrieval, and recommendation systems.
 </li>
 <li>
 Design, develop, and implement corporate process automation solutions using workflow automation tools such as Flowise, n8n, and similar platforms.
 </li>
 <li>
 Manage fine-tuning or training processes of large language models (LLM) tailored to organizational needs; actively participate in data collection, preprocessing, model training, and evaluation phases.
 </li>
 <li>
 Collect and analyze structured and unstructured data from various sources to generate actionable insights that add value to the organization.
 </li>
 <li>
 Participate in API development, microservices, and integration processes for AI and data analytics applications; ensure the sustainability, performance, and security of systems.
 </li>
 <li>
 Create decision-support systems using data visualization and reporting tools, and provide data-driven reports to management and stakeholders.
 </li>
 <li>
 Continuously monitor the performance of applications and models, develop optimization suggestions, and manage improvement processes.
 </li>
 <li>
 Prepare technical documentation for AI and data projects, documenting processes and integration steps in detail.
 </li>
 <li>
 Stay updated on current AI and data analytics technologies and methodologies, evaluate their applicability within the organization, and develop pilot projects.
 </li>
 <li>
 Share knowledge within the team, providing technical consultancy and guidance as needed.
 </li>
 <li>
 Build and maintain data pipelines to connect various data sources and manage the ELT (Extract, Load, and Transform) process using SSIS.
 </li>
 <li>
 Develop business performance visualizations and dashboards using SSRS to report on daily, weekly, and monthly activities, identify KPIs, and monitor progress.
 </li>
 <li>
 Foster a culture of data-driven decision-making by promoting objectivity over subjectivity and ensuring opinions are not mistaken for facts.
 </li>
 <li>
 Adhere strictly to information security, data privacy, and ethical principles, complying fully with relevant legal and corporate standards.
 </li>
 </ul>
 
 
</div>

Artificial Intelligence Engineer

Intellectyx

About IntellectyxIntellectyx.ai is an AI-native innovation company that empowers enterprises to transition from conventional digital systems to autonomous, agentic, and data-intelligent ecosystems. We specialize in combining data observability, AI orchestration, and contextual intelligence to help organizations operate faster, smarter, and with greater trust.Role OverviewAs an AI Engineer, you will play a key role in designing, building, and deploying agentic AI systems and intelligent data pipelines across Intellectyx&rsquo;s product suite and enterprise clients.You will work at the intersection of LLMs, data engineering, and cloud architecture, developing adaptive AI workflows that integrate seamlessly into digital and data platforms.This role requires a blend of strong software engineering, data science, and system integration skills &mdash; ideal for someone who thrives in building next-generation AI-native solutions that are explainable, scalable, and autonomous.Key Responsibilities1. AI Development &amp; Integration<ul><li>Develop and operationalize LLM- and agent-based systems using AgnoAI, MCP, LangChain, LangGraph, and Langfuse.</li><li>Implement reasoning chains, memory modules, and contextual orchestration for autonomous agents.</li><li>Integrate AI pipelines into existing FastAPI / Django applications and PostgreSQL / Snowflake data backends.</li></ul>2. Data Engineering &amp; Processing<ul><li>Build and optimize data ingestion and transformation pipelines using Databricks, Azure Data Factory, and Snowflake.</li><li>Enable real-time data availability for AI agents and models through semantic and vector-based retrieval.</li><li>Collaborate with data scientists to train, deploy, and monitor ML/LLM models at scale.</li></ul>3. Agentic Architecture Implementation<ul><li>Contribute to multi-agent frameworks that enable autonomous workflows across digital, data, and business processes.</li><li>Implement AI governance mechanisms, including prompt management, context versioning, and safe execution boundaries.</li><li>Build APIs for inter-agent communication, feedback loops, and observability tracking.</li></ul>4. Cloud &amp; DevOps<ul><li>Deploy AI services in AWS and Azure environments using containerized and serverless approaches.</li><li>Implement observability tools for monitoring agent performance, cost, and latency.</li><li>Work with DevOps teams on CI/CD pipelines, MLOps, and model lifecycle management.</li></ul>5. Visualization &amp; Decision Support<ul><li>Collaborate with teams using Tableau and Power BI to operationalize AI-driven insights for business consumption.</li><li>Enable human-in-the-loop workflows and dashboards for monitoring AI behavior and data quality.</li></ul>Qualifications<ul><li>3&ndash;7 years of experience in AI, ML, or software engineering roles.</li><li>Strong programming background in Python (FastAPI, Django, LangChain ecosystem).</li><li>Hands-on experience with:</li><li>Agentic AI: AgnoAI, MCP, LangChain, LangGraph, Langfuse, OpenAI APIs, vector databases</li><li>Data: Snowflake, Databricks, Azure Synapse, Azure Data Factory</li><li>Cloud: AWS, Azure, Terraform, Docker, Kubernetes</li><li>Visualization: Tableau, Power BI</li><li>Proficiency with LLMs, prompt engineering, and embedding-based retrieval (e.g., FAISS, pgvector).</li><li>Experience with model evaluation, observability, and performance optimization.</li><li>Familiarity with Git, CI/CD pipelines, and API-based system design.</li></ul>Preferred Experience<ul><li>Prior experience in building agent-based or multi-agent orchestration systems.</li><li>Exposure to LangGraph or AgnoAI orchestration pipelines for agent collaboration.</li><li>Contributions to open-source AI or MLOps projects.</li></ul>Soft Skills<ul><li>Excellent problem-solving, critical thinking, and analytical skills.</li><li>Strong communication and collaboration abilities within cross-functional teams.</li><li>Curiosity-driven mindset with a passion for experimentation and learning.</li></ul>Why Intellectyx<ul><li>Be part of an AI-native engineering culture that&rsquo;s pioneering agentic intelligence for enterprise ecosystems.</li><li>Work on global-scale projects integrating Digital, Data, AI, and Cloud architectures.</li><li>Competitive compensation, global exposure, and opportunities to lead innovation initiatives.</li></ul>Job Type: Full-timePay: &#8377;15,399.01 - &#8377;60,067.73 per month

Raqmiyat

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>10/16/2025
</div></div><div>Job Type
<div>Full time
</div></div><div>Job Opening Status
<div>In-progress
</div></div><div>Work Experience
<div>4-5 years
</div></div><div>Industry
<div>Technology
</div></div><div>City
<div>Riyadh
</div></div><div>State/Province
<div>Riyadh
</div></div><div>Country
<div>Saudi Arabia
</div></div><div>Zip/Postal Code
<div>11564
</div></div></ul></div><div><h3 class="jobSectionHeader">About Us</h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div> 
</div><h3 class="jobSectionHeader">Job Description</h3>
<div>We are seeking a Saudi National Artificial Intelligence Engineer with 2+ years of experience in designing, developing, and deploying AI and machine learning solutions. The ideal candidate will help the organization leverage AI technologies to automate processes, enhance decision-making, and drive innovation. This role is suitable for professionals with a strong technical background, analytical mindset, and passion for AI research and implementation. 
Key Responsibilities:<ul><li> 
Design, develop, and deploy AI/ML models to solve business problems.</li><li> 
Collect, clean, and pre process data from multiple sources for model training and evaluation.</li><li> 
Implement machine learning algorithms, deep learning models, and natural language processing (NLP) solutions.</li><li> 
Collaborate with business stakeholders to translate requirements into AI-driven solutions.</li><li> 
Evaluate model performance, tune hyper parameters, and ensure model accuracy and reliability.</li><li> 
Integrate AI models into existing systems, applications, or platforms.</li><li> 
Maintain proper documentation of models, experiments, and code.</li><li> 
Stay updated on emerging AI technologies, frameworks, and best practices.</li><li> 
Support cross-functional teams in AI adoption and knowledge transfer.</li></ul><div></div><h3 class="jobSectionHeader"> 
Requirements</h3>
Skills Required:<ul><li> 
2+ years of experience in AI, machine learning, or data science.</li><li> 
Strong programming skills in Python, R, or Java.</li><li> 
Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li> 
Knowledge of NLP, computer vision, or predictive modeling techniques.</li><li> 
Experience with SQL and data manipulation.</li><li> 
Familiarity with cloud AI services (AWS Sagemaker, Azure AI, Google AI) is a plus.</li><li> 
Strong analytical, problem-solving, and critical-thinking abilities.</li><li> 
Good communication and teamwork skills.</li><li> 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li></ul></div></div></div>

Artificial Intelligence Engineer (Saudi National)

Extendo Technologies

About the Role:We are seeking a highly skilled and motivated AI Developer with strong expertise in Deep Learning and Natural Language Understanding (NLU) to join our team. You will play a key role in designing, developing, and deploying intelligent systems that can understand, interpret, and generate human language across a variety of real-world applications.Key Responsibilities:Design and implement deep learning models for NLP/NLU tasks such as text classification, question answering, entity recognition, and language generation.Fine-tune large language models (e.g., BERT, GPT, T5) on domain-specific datasets.Develop scalable AI pipelines from data preprocessing to model deployment and monitoring.Collaborate with data scientists, ML engineers, and product managers to integrate AI solutions into production systems.Perform error analysis and model performance evaluation using metrics such as F1-score, BLEU, perplexity, etc.Stay updated with the latest research in NLP/NLU, deep learning architectures, and transformer-based models.Contribute to codebase management, version control, and documentation of AI models and tools.Required Skills &amp; Qualifications:Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.3+ years of hands-on experience in deep learning and NLP/NLU development.Proficiency with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, or spaCy.Strong programming skills in Python; familiarity with REST APIs and microservices is a plus.Solid understanding of deep learning techniques such as RNNs, CNNs, LSTMs, and transformer architectures.Experience with model training, evaluation, and optimization techniques.Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps best practices is a plus.Job Types: Full-time, PermanentPay: &#8377;50,000.00 - &#8377;70,000.00 per monthBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Experience:<ul><li>Artificial: 5 years (Required)</li></ul>Work Location: In person

Randstad Türkiye

<div>
 
 We are looking for a
 
 "AI Research Engineer"
 
 specified in Recommendation Project for our global business partner runs in
 
 Telecommunication Industry
 
 .
 
 
 
 
 
 
 Description
 
 
 
 
 
 Key areas of responsibility will be:
 
 
 
 
 
 
 <ul>
 <li>
 Make research on retrieval, pre-rank, and rank stages of Recommenders Systems,
 </li>
 <li>
 Design and build scalable ML services,
 </li>
 <li>
 Deploy ML services to production at scale considering resource constraints,
 </li>
 <li>
 Monitoring models to evaluate and improve services online,
 </li>
 <li>
 Play an active role in suggesting, collecting, and preprocessing the data necessary to train the ML models and evaluate performance,
 </li>
 <li>
 Consult with the other teams to determine the requirements and formalize the possible ML research directions.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 Essential technical requirements:
 
 
 
 
 
 
 
 
 
 A. Basic computer science and programming languages
 
 
 
 
 
 
 <ul>
 <li>
 Understanding of data structures, data modeling, and software architecture,
 </li>
 <li>
 Having expertise in object-oriented programming,
 </li>
 <li>
 Ability to write reusable and easily-maintainable code using beautiful and proper design patterns,
 </li>
 <li>
 Ability to write robust and optimized code in Python.
 </li>
 <li>
 Strong programming skills (Python, SQL, etc.) and experience with deep learning frameworks (e.g. TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Familiar with development processes (CI/CD, DevOps, MLOps)
 </li>
 </ul>
 
 
 
 
 
 
 B. Machine Learning
 
 
 
 
 
 
 <ul>
 <li>
 Solid understanding of Neural Networks in theory such as convex optimization, hessian approximations, conjugate gradient, and Gauss-Newton steps,
 </li>
 <li>
 Familiarity with modern machine learning frameworks.
 </li>
 </ul>
 
 
 
 
 
 
 C. Recommender System, related NLP and Computer Vision fields
 
 
 
 
 
 
 <ul>
 <li>
 Proven experience as a Machine Learning/AI Engineer or similar role building largescale recommender systems to solve real live-stream problems,
 </li>
 <li>
 Practical experience in deploying and optimizing ML models in production,
 </li>
 <li>
 Experience in one of the fields: Deep Learning-based recommender models, NLP tasks (vector semantics such as TF-IDF or neural word embeds, entity labeling, text classification, etc.), Computer Vision tasks (such as Optical Character Recognition, Object Classification, Object detection, etc.)
 </li>
 </ul>
 
 
 
 
 
 
 D. Working efficiency
 
 
 
 
 
 
 <ul>
 <li>
 Fully-easy working capability in version control systems such as Gitlab or Github,
 </li>
 <li>
 Experience in Docker for building a simulation of the production environment,
 </li>
 <li>
 Solid understanding of JSON file, and schema.
 </li>
 </ul>
 
 
 
 
 
 
 E. Academic
 
 
 
 
 
 
 
 Being published in Articles and Proceedings in reputable journals related to recommenders systems such as ACL and SIGIR is a significant plus.
 
 
 
 
 
 
 
 Essential non-technical requirements:
 
 
 
 
 
 
 <ul>
 <li>
 Fluent in English, both written and spoken,
 </li>
 <li>
 Ability to work in a multi-disciplinary and multi-cultural team.
 </li>
 </ul>
</div>

E S D INTERIOR DESIGNING LLC

We are seeking a talented AI Specialist with expertise in AI-driven video creation to join our creative and digital media team. The ideal candidate will have hands-on experience with AI tools for video generation, image synthesis, and automation, and a strong sense of visual storytelling.You will work closely with our content, marketing, and design teams to produce engaging, high-quality videos using AI technologies that bring ideas, products, and stories to life.Key Responsibilities:<ul><li>Develop and produce AI-generated videos using advanced platforms (e.g., Runway, Pika Labs, Synthesia, Kaiber, or similar).</li><li>Integrate AI models for voiceovers, avatars, animations, and visual effects.</li><li>Collaborate with creative teams to translate scripts and ideas into dynamic AI video content.</li><li>Research and implement the latest AI video tools and workflows to optimize production efficiency.</li><li>Ensure all generated media meets brand quality standards and ethical AI use guidelines.</li><li>Troubleshoot and fine-tune AI models for improved realism, motion, and style consistency.</li></ul>Job Types: Full-time, PermanentPay: AED5,000.00 - AED8,000.00 per month

Penny Software

About Penny SoftwarePenny is a fast-growing procurement and technology company headquartered in Riyadh with operations across Saudi Arabia and Bahrain. Our mission is to build the best possible source-to-pay platform, allowing organizations worldwide to find suppliers, issue tenders, and manage responses faster, cheaper, and more efficiently than ever before.Role Summary:This is a high-impact senior role that sits at the intersection of Engineering, Data, and Product. You will steer Penny&rsquo;s entire approach to Machine Learning and AI, identifying opportunities to deliver measurable customer value and building the scalable solutions to realize it. Your work will directly impact thousands of procurement professionals across the MENA region.If successful, this role has the potential to develop into a Team Leadership position as we expand our dedicated AI/ML team. What You'll Do: Core ResponsibilitiesYou will be at the forefront of integrating AI and ML into procurement workflows, focusing on building intelligent solutions that solve real-world customer problems.1. AI/ML Development &amp; Deployment<ul><li>Design and implement production-ready AI/ML models that enhance core procurement processes, from supplier matching to risk assessment.</li><li>Develop solutions utilizing the latestLarge Language Model (LLM) and deep learning techniques to create tangible customer value.</li><li>Architect and implement Retrieval-Augmented Generation (RAG) systems to provide accurate, contextual, and grounded responses to user queries.</li><li>Create robust algorithms for advanced pattern recognition and process automation within complex procurement workflows.</li></ul>2. Technical Leadership &amp; MLOps<ul><li>Ensure all AI solutions are scalable, secure, and maintainable within our existing micro-service architecture.</li><li>Conduct rigorous A/B testing and performance optimization, ensuring the model's performance meets business requirements.</li><li>Provide technical guidance and mentorship on AI/ML best practices to other engineers at Penny.</li><li>Own the solution life cycle from concept and data preparation through to final deployment and monitoring.</li></ul>3. Cross-Functional Collaboration<ul><li>Partner closely with Product teams to identify the highest-value opportunities for AI-driven improvements.</li><li>Collaborate with Data teams to ensure high-quality training data, feature engineering, and labeling processes.</li><li>Work with UX teams to translate complex models into intuitive, AI-powered user experiences.</li></ul>What You Need to Succeed<ul><li>Experience: 4+ years of hands-on experience in AI/ML development, specifically deploying and managing models in production environments.</li><li>ML Proficiency: A strong track record and clear understanding of a range of ML techniques beyond simple prompting, including model fine-tuning and deployment.</li><li>Production Impact: Proven ability to solve complex business problems using AI/ML, demonstrating:</li><li>A clear understanding of problem-solution fit.</li><li>Rigorous evaluation of solution effectiveness.</li><li>Measurable business impact of your implementations.</li><li>Technical Foundation: Strong understanding of data processing, model evaluation techniques, and building high-performance, distributed systems.</li></ul>Desired Qualifications (Pluses)<ul><li>Experience setting up and managingMLOps best practices and tooling.</li><li>Hands-on experience with cloud platforms(Google Cloud, AWS, or Azure) and their native AI services.</li><li>Experience withArabic language application of AI and ML.</li><li>Knowledge of procurement, supply chain, or enterprise SaaS software domain.</li></ul>Job Type: Full-time

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