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CleanLife

Job Posting: AI EngineerJob ObjectiveWe are seeking a creative AI Engineer with strong technical and practical expertise to develop advanced intelligent solutions that enhance operational efficiency, improve customer satisfaction, and support data-driven decision-making through forecasting and advanced analytics.Key Responsibilities<ul><li>Develop advanced artificial intelligence and machine learning models to accurately forecast project delays and estimate job durations.</li><li>Design and implement sophisticated scheduling and route optimization solutions leveraging Google OR-Tools.</li><li>Detect and resolve scheduling conflicts, including overlaps and idle periods, through automated methodologies.</li><li>Improve customer engagement by deploying NLP-powered chatbots integrated with WhatsApp and other communication channels.</li><li>Integrate AI-driven systems with Zoho FSM, CRM, and Books utilizing APIs.</li><li>Conduct thorough analyses of operational and customer data to generate actionable insights.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field.</li><li>3&ndash;5 years of professional experience in AI/ML development.</li><li>Proficient in Python and experienced with relevant ML/NLP frameworks (TensorFlow, PyTorch, Scikit-learn, spaCy).</li><li>Experience with Google OR-Tools or similar platforms for optimization and scheduling solutions.</li><li>Skilled in database technologies such as PostgreSQL and SQL Server.</li><li>Experienced in REST API integration; familiarity with Zoho platforms is advantageous.</li><li>Practical experience in delivering chatbot and NLP projects is preferred.</li></ul>Soft Skills<ul><li>Exceptional analytical and problem-solving abilities.</li><li>Strong team player, effective in cross-functional collaboration.</li><li>Excellent communication skills with both technical and non-technical stakeholders.</li><li>High attention to detail, quick learner, and consistently delivers on time.</li></ul>Think you&rsquo;re the right fit?Join us and be part of an innovative team building cutting-edge AI solutions that make a real impact.&#1606;&#1608;&#1593; &#1575;&#1604;&#1608;&#1592;&#1610;&#1601;&#1577;: &#1583;&#1608;&#1575;&#1605; &#1603;&#1575;&#1605;&#1604;

AI Engineer

Bites

<div>Location: Riyadh (Hybrid)
About Us:
Bites is transforming education with cutting-edge technology, empowering over 1 million users across 150+ countries with personalized and enjoyable learning experiences. Using GenAI, we&rsquo;ve transformed more than 4 million studying materials into impactful learning experiences for students across the world. 
Responsibilities:<ul><li><ul><li>Develop AI based solutions for document parsing and content generation.</li><li>Implement and improve OCR technologies for accurate document scanning and data extraction.</li><li>Collaborate with cross-functional teams to integrate LLMs and NLP solutions into our platform.</li><li>Design and maintain scalable AI systems to enhance user experience.</li><li>Conduct research to stay updated with the latest advancements in AI and machine learning.</li></ul></li><li>
Requirements:</li><li><ul><li>Bachelor&rsquo;s Degree: A degree in Computer Science, Artificial Intelligence, or a related field is essential to ensure a solid foundation in technical skills and theoretical knowledge.</li><li>2+ Years of Experience: Demonstrated experience in AI development, specifically focusing on:</li><li>Document Parsing: Understanding of techniques and tools for extracting and structuring information from various document formats.</li><li>Large Language Models (LLMs): Experience in integrating with cloud hosted LLMs for content generation and other natural language tasks.</li><li>Natural Language Processing (NLP): Proficiency in NLP techniques for text analysis and language translation.</li><li>Optical Character Recognition (OCR): Hands-on experience with OCR technologies to convert different types of documents, such as scanned paper documents, PDFs, or images into editable and searchable data.</li><li>Programming Proficiency: Strong skills in programming languages such as Python, with experience using frameworks like TensorFlow, PyTorch, or similar for developing AI models.</li><li>Problem-Solving Skills: Ability to tackle complex challenges and develop innovative solutions.</li></ul></li></ul>
Preferred Qualifications:<ul><li><ul><li>Experience with cloud platforms like AWS, Google Cloud, or Azure.</li><li>Familiarity with deploying AI models in production environments.</li><li>Contributions to open-source AI projects or publications in relevant fields.</li><li>Knowledge of spaced repetition algorithms and educational technology.</li></ul></li></ul></div>

TAWANTECH

<div><h3 class="jobSectionHeader">Job Overview:</h3>
We are seeking an experienced AI Engineer to design and implement advanced AI and machine learning solutions that enhance banking operations, customer experience, risk analysis, and process automation. The ideal candidate will have a strong background in applied machine learning, data science, and AI systems architecture.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Design, develop, and deploy machine learning and AI models tailored to banking and financial services use cases (e.g., fraud detection, credit scoring, customer insights).
</li><li>Perform data preprocessing, feature engineering, and exploratory data analysis.
</li><li>Work with structured and unstructured data from various sources.
</li><li>Collaborate with business units and data engineering teams to define model requirements and deployment strategies.
</li><li>Continuously evaluate and improve AI models based on performance metrics.
</li><li>Ensure compliance with data privacy, security, and regulatory standards.
</li><li>Document processes, experiments, and model outcomes clearly for technical and non-technical stakeholders.</li>
</ul>Requirements<h3 class="jobSectionHeader">
Required Qualifications:</h3><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
</li><li>5&ndash;7 years of experience in AI/ML development and deployment.
</li><li>Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Keras.
</li><li>Experience with NLP, Computer Vision, or Predictive Analytics in real-world projects.
</li><li>Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).
</li><li>Strong understanding of data pipelines, model lifecycle management, and model versioning.
</li><li>Experience working with cloud platforms such as AWS, Azure, or GCP.</li></ul></div>

Artificial Intelligence (AI) Engineer

<div>
 
 
 Job Overview:
 
 
 
 
 We are seeking an experienced
 
 AI Engineer
 
 to design and implement advanced AI and machine learning solutions that enhance banking operations, customer experience, risk analysis, and process automation. The ideal candidate will have a strong background in applied machine learning, data science, and AI systems architecture.
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning and AI models tailored to banking and financial services use cases (e.g., fraud detection, credit scoring, customer insights).
 </li>
 <li>
 Perform data preprocessing, feature engineering, and exploratory data analysis.
 </li>
 <li>
 Work with structured and unstructured data from various sources.
 </li>
 <li>
 Collaborate with business units and data engineering teams to define model requirements and deployment strategies.
 </li>
 <li>
 Continuously evaluate and improve AI models based on performance metrics.
 </li>
 <li>
 Ensure compliance with data privacy, security, and regulatory standards.
 </li>
 <li>
 Document processes, experiments, and model outcomes clearly for technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 Required Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
 </li>
 <li>
 5-7 years of experience in AI/ML development and deployment.
 </li>
 <li>
 Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Keras.
 </li>
 <li>
 Experience with NLP, Computer Vision, or Predictive Analytics in real-world projects.
 </li>
 <li>
 Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).
 </li>
 <li>
 Strong understanding of data pipelines, model lifecycle management, and model versioning.
 </li>
 <li>
 Experience working with cloud platforms such as AWS, Azure, or GCP
 </li>
 </ul>
</div>

CodeNinja

Job Summary: 
We are looking for an AI Software Engineer to design, build, and deploy cutting-edge AI/ML solutions for financial services. This role involves working on fraud detection, risk assessment, robo-advisory, LLM-based applications, and cloud-native AI systems. The ideal candidate will have 5+ years of software development experience and at least 2+ years in AI/ML production environments, with expertise across ML frameworks, cloud infrastructure, and full-stack engineering. You will collaborate with product, data science, and compliance teams to deliver innovative, scalable, and compliant AI solutions.
 
Key Responsibilities: 
<ul>
<li>Design, develop, and deploy AI/ML models for financial applications (fraud detection, risk assessment, robo-advisory, etc.).</li>
<li>Build and optimize end-to-end ML pipelines (data ingestion → preprocessing → deployment → monitoring).</li>
<li>Implement LLM-based solutions using OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex.</li>
<li>Develop and maintain cloud-native architectures (AWS, GCP, Azure).</li>
<li>Apply MLOps best practices: CI/CD for ML, automated testing, observability.</li>
<li>Collaborate with product managers, data scientists, and compliance teams.</li>
<li>Drive rapid prototyping through POCs and MVPs.</li>
<li>Ensure compliance with cybersecurity and regulatory standards (explainable AI, bias detection, SAMA).</li>
<li>Contribute to open-source projects and stay updated with AI/ML advancements.</li>
</ul>
Requirements: 
Essential Qualifications: 
<ul>
<li>5+ years of professional software development experience.</li>
<li>2+ years of hands-on experience in AI/ML production environments.</li>
<li>Expertise in AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).</li>
<li>Proficiency with LLM frameworks (OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex).</li>
<li>Experience in prompt engineering, fine-tuning, and RAG architectures.</li>
<li>Strong knowledge of MLOps pipelines, CI/CD practices, and model deployment.</li>
<li>Advanced proficiency with cloud platforms (AWS, GCP, or Azure).</li>
<li>Familiarity with Infrastructure as Code (Terraform, CloudFormation, Pulumi).</li>
<li>Solid experience with backend & frontend development (Node.js, FastAPI, Django, React, Next.js, etc.).</li>
<li>Knowledge of databases, APIs, container orchestration (Kubernetes, Docker), and DevOps tools.</li>
</ul>
Preferred Qualifications: 
<ul>
<li>Experience in AI solutions for financial services.</li>
<li>Knowledge of edge AI and device-level inference optimization.</li>
<li>Background in quantitative finance or algorithmic trading.</li>
<li>Familiarity with blockchain / distributed ledger technologies.</li>
<li>Publications, research contributions, or conference presentations in AI/ML.</li>
<li>Proficiency in Arabic NLP and language models (technical skill, not necessarily spoken fluency).</li>
<li>Previous startup or venture studio experience.</li>
<li>Domain expertise in computer vision, NLP, time-series forecasting, or recommender systems.</li>
</ul>
Critical Competencies: 
<ul>
<li>Builder Mentality: Focused on delivering working AI systems, not just designs.</li>
<li>Problem-Solving: Ability to tackle complex, ambiguous challenges with speed.</li>
<li>Technical Leadership: Influences design and architecture decisions.</li>
<li>Innovation Drive: Passion for applying cutting-edge AI in real-world fintech use cases.</li>
<li>Rapid Prototyping: Skilled at building POCs and MVPs to validate ideas.</li>
<li>Collaboration: Strong communicator, effective with cross-functional teams.</li>
<li>Learning Agility: Continuously stays ahead of AI/ML advancements.</li>
<li>Pragmatic Approach: Balances technical excellence with business priorities and time-to-market.</li>
</ul>

Applied AI Engineer - Financial Services

Job Summary: 
We are seeking an Applied AI Agents Engineer with a strong software engineering background to design, implement, and deploy intelligent agent-based systems powered by large language models (LLMs), retrieval-augmented generation (RAG), and orchestration frameworks like LangChain.
 The ideal candidate will have 3–5+ years of software engineering experience and at least 1–2 years working in AI/ML or intelligent systems. You will play a key role in building multi-agent workflows, integrating agents into enterprise environments, and deploying them reliably in production.
 Experience with orchestration platforms (e.g., aiXplain) and prompt engineering will be highly valuable.
 
Key Responsibilities: 
<ul>
<li>Agent Development & Architecture – Design and implement AI agents using LangChain, including reasoning, memory, RAG pipelines, and tool integrations.</li>
<li>Integration & APIs – Build connectors for databases, APIs, and enterprise systems to extend agent capabilities.</li>
<li>Scalability & Deployment – Deploy agents to cloud environments, ensuring reliability, security, and performance optimization.</li>
<li>Optimization & Monitoring – Fine-tune prompts, optimize retrieval workflows, and monitor system performance.</li>
<li>Collaboration & Documentation – Work closely with AI specialists, data engineers, and domain experts to align solutions with business needs.</li>
</ul>
Requirements: 
Required Skills & Experience: 
<ul>
<li>Strong foundation in software engineering (data structures, algorithms, distributed systems, OOP).</li>
<li>Proficiency in Python with solid experience in LangChain (agents, chains, RAG pipelines, tool integrations).</li>
<li>Good understanding of LLMs, embeddings, and vector databases.</li>
<li>3–5+ years of professional software engineering experience.</li>
<li>1–2+ years working in AI/ML or intelligent systems.</li>
</ul>
Nice-to-Haves (Plus): 
<ul>
<li>Hands-on experience with aiXplain for agent deployment, orchestration, and monitoring.</li>
<li>Familiarity with prompt engineering and evaluation frameworks.</li>
<li>Experience building and scaling multi-agent collaboration systems.</li>
</ul>

Applied AI Agents Engineer

Unifonic

<div>Proudly voted a Great Place to Work&reg;, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we&rsquo;re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
Meet the team!
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic&rsquo;s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
As an AI Product Engineer, you will be instrumental in defining and leading the vision, strategy, and execution of AI-powered solutions that elevate customer experiences. You&rsquo;ll play a key role in transforming emerging technologies&mdash;such as Large Language Models (LLMs), generative AI, and automation&mdash;into customer-centric products that deliver measurable business value.
Help us shape the future of communication by:<ul><li>
Owning and maintaining the AI product roadmap, balancing innovation with business priorities while aligning with organizational goals.</li><li>
Leading the development of AI/ML-powered solutions, working closely with data scientists, engineers, and cross-functional teams to deliver scalable, high-impact products.</li><li>
Translating complex AI concepts into clear business outcomes, ensuring alignment between technical capabilities and customer needs.</li><li>
Conducting customer and market research (interviews, competitive analysis, trend tracking) to uncover opportunities for AI-driven innovation.</li><li>
Defining and monitoring success metrics and KPIs, using data-driven insights to iterate on features and optimize performance.</li><li>
Managing the full product lifecycle from ideation, prototyping, and backlog prioritization to testing, deployment, and scaling.</li><li>
Ensuring products are built with ethical AI principles, adhering to fairness, transparency, and data privacy best practices.</li><li>
Partnering with customer-facing teams to gather feedback, validate solutions, and drive adoption.</li></ul> 
What you'll bring:<ul><li>
4+ years of product management experience with a proven track record of delivering successful products.</li><li>
1+ years leading AI initiatives or strong experience with data-driven products and demonstrated interest in AI/ML.</li><li>
Solid understanding of AI technologies, including LLMs, generative AI, NLP, and automation frameworks.</li><li>
Hands-on experience with AI prototyping tools, APIs, and developer ecosystems.</li><li>
Ability to translate customer and business needs into technical requirements and prioritize effectively.</li></ul><ul><li>
Strong data-driven mindset with experience defining KPIs and leveraging analytics to guide product decisions.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, Computer Science, or a related field (or equivalent experience).</li><li>
Excellent communication and presentation skills for engaging stakeholders, executives, and customers.</li><li>
Ability to shift seamlessly between strategic vision and tactical execution.</li><li>
Experience working in fast-paced SaaS or startup environments.</li><li>
Previous experience in customer service platforms or conversational marketing.</li></ul>
As a Unifone you will receive a range of benefits:<ul><li>
Competitive salary and bonus.</li><li>
Unifonic share scheme (we are all owners!).</li><li>
30 holiday days after the first anniversary.</li><li>
Your Birthday off!</li><li>
Spend up to 25 days per year working from anywhere in the world!</li><li>
Paid leave for new parents.</li><li>
LinkedIn learning license.</li></ul></div>

AI Product Manager

Explore 362+ Ai engineer in Riyadh this September. Find roles across top companies and apply now to boost your career.

362 ai engineer jobs IN Riyadh

AI Engineer

AI Engineer

Artificial Intelligence (AI) Engineer

Artificial Intelligence (AI) Engineer

Applied AI Engineer - Financial Services

Applied AI Agents Engineer

AI Product Manager