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HRsource

<div>
 
 
 Job Title:
 
 Algorithm Researcher &ndash; AI Large Language Models
 
 
 
 Location:
 
 Riyadh, Saudi Arabia (On-site Only)
 
 
 
 Department:
 
 Research &amp; Development
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are seeking a passionate
 
 Algorithm Researcher
 
 to join our client's R&amp;D team in Riyadh. You will contribute to the design, development, and optimization of applications powered by
 
 Large Language Models (LLMs)
 
 , working at the forefront of generative AI innovation. This role offers the opportunity to work on real-world applications in collaboration with top AI experts and product teams.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 LLM Development &amp; Optimization:
 
 Contribute to building and refining LLM-powered applications through coding, performance tuning, and debugging.
 </li>
 <li>
 
 Feature Implementation:
 
 Translate user and product requirements into functional, scalable modules.
 </li>
 <li>
 
 Framework &amp; Model Ownership:
 
 Support the design, development, and maintenance of proprietary LLM frameworks.
 </li>
 <li>
 
 Prompt Engineering &amp; Interaction:
 
 Apply advanced prompting, context management, and agent-based reasoning techniques for enhanced LLM performance.
 </li>
 <li>
 
 AI Agent Productionization:
 
 Partner with research and product teams to translate agent logic (planning, reasoning, tool usage) into robust production-grade systems.
 </li>
 <li>
 
 Continuous Learning:
 
 Stay current with the latest AI/LLM advancements and actively contribute to technical discussions, code reviews, and team knowledge-sharing.
 </li>
 <li>
 
 Problem Solving:
 
 Collaborate with senior engineers to solve technical challenges and optimize large-scale systems.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 
 Language:
 
 Fluent in Arabic and English (written &amp; spoken).
 </li>
 <li>
 
 Location:
 
 Must be based in Riyadh (onsite role).
 </li>
 <li>
 
 Education:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Software Engineering, or related fields from a top-tier global university.
 </li>
 <li>
 
 Experience:
 
 1+ years in software development (including internships/personal projects).
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 
 
 
 <ul>
 <li>
 Strong programming skills in
 
 Python
 
 (or similar).
 </li>
 <li>
 Hands-on experience with
 
 deep learning frameworks
 
 (PyTorch preferred).
 </li>
 <li>
 Solid understanding of algorithms and ability to implement complex coding solutions.
 </li>
 <li>
 Familiarity with
 
 LLM workflows, prompt engineering, and agent development
 
 .
 </li>
 <li>
 Exposure to frameworks like
 
 LangChain, LangGraph, Autogen, dify, MCP
 
 (hands-on project experience preferred).
 </li>
 <li>
 
 Mindset:
 
 Strong analytical skills, logical thinking, and a passion for AI innovation.
 </li>
 </ul>
 
 
</div>

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>

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

Lucidya

<div>We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.
You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions&mdash;from backend infrastructure to prompt optimization.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
</li><li>Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
</li><li>Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
</li><li>MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
</li><li>Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
</li><li>Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
</li><li>Evaluation &amp; Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
</li><li>Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.</li>
</ul>Requirements<ul>
<li>Minimum Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field.
</li><li>Strong background in AI/ML, with a focus on generative models.
</li><li>Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
</li><li>Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
</li><li>Expertise in prompt engineering and prompt optimization for diverse tasks.
</li><li>Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
</li><li>Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
</li><li>Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
</li><li>Proactive mindset with the ability to take ownership of challenges and drive solutions.
</li><li>Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.</li>
</ul>Benefits<h3 class="jobSectionHeader">
Why Join Us?</h3>
This is more than just an engineering role. it&rsquo;s an opportunity to shape the infrastructure and technical future of Lucidya. You&rsquo;ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company&rsquo;s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you&rsquo;ll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.</div>

Generative AI Engineer (Saudi-based only)

Nyx Wolves

<div>
 
 Required skills
 
 
 &bull;	5+ years of professional experience in building Machine Learning models &amp; systems
 
 
 &bull;	1+ years of hands-on experience in how LLMs work &amp; Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
 
 
 &bull;	Experience in driving the engineering team toward a technical roadmap.
 
 
 &bull;	Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
 
 
 &bull;	Understanding of Cloud services, including Azure, GCP, or AWS
 
 
 &bull;	Excellent communication skills to effectively collaborate with business SMEs
 
 
 Roles &amp; Responsibilities
 
 
 &bull;	Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
 
 
 &bull;	Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
 
 
 &bull;	Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
 
 
 &bull;	Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
 
 
 &bull;	Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
 
 
 &bull;	Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance
 
</div>

Gen AI Engineer (Arabic-Speaking, Riyadh-Based)

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
We're seeking experienced AI infrastructure Engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether&rsquo;s applied research team, where you&rsquo;ll contribute to high-impact projects that run across thousands of GPUs and drive cutting-edge video generation foundation development.
Responsibilities<ul><li>
Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200).</li><li>
Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.</li><li>
Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.</li><li>
Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics.</li><li>
Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages.</li><li>
Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations.</li><li>
Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms.</li><li>
Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.</li></ul><ul><li>
Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.</li><li>
Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs.</li><li>
Proven ability to architect and maintain large-scale distributed systems for data processing and delivery.</li><li>
Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads.</li></ul>
Preferred Qualifications<ul><li>
Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.</li><li>
Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Senior AI Engineer - Data & Infrastructure for Multimodal Models (100% Remote)

1957 Ventures

<div>
 
 1957 Ventures, the fintech venture builder by Riyad Capital, is seeking an exceptional AI Engineer to drive technical innovation across our portfolio of fintech ventures in the MENA region. This is a highly hands-on role for a versatile technologist who combines deep AI/ML expertise with full-stack development capabilities to build cutting-edge financial products from inception through scale.
 
 
 
 
 
 The AI Engineer will be responsible for designing, implementing, and deploying AI-powered solutions that transform financial services across our ventures. You will work directly with founding teams to rapidly prototype and build production-ready systems that leverage large language models, machine learning, and modern cloud architectures. This role requires the ability to work across the entire technical stack - from cloud infrastructure and edge computing to frontend applications and AI model deployment - while maintaining a builder's mindset and shipping code daily.
 
 
 
 
 
 As AI Engineer, you will architect and implement AI/ML pipelines for financial applications including fraud detection, credit scoring, and intelligent automation; build and deploy scalable full-stack applications using modern frameworks and cloud services; develop LLM-powered features for customer service, document processing, and financial advisory; design distributed systems that handle real-time financial transactions at scale; implement edge computing solutions for low-latency financial services; establish MLOps practices and infrastructure for model deployment and monitoring; collaborate with product teams to identify AI opportunities and rapidly prototype solutions; and ensure security, compliance, and performance optimization across all systems. You will report to the CTO or technical leadership while maintaining high autonomy in technical decision-making.
 
 
 
 
 
 This is a full-time position based in Riyadh, Saudi Arabia, offering the opportunity to shape the technical foundation of multiple fintech ventures. The role offers competitive compensation, equity participation, and the chance to work with cutting-edge AI technologies in financial services.
 
 
 
 
 
 
 Essential Qualifications:
 
 
 <ul>
 <li>
 5+ years of hands-on software development experience with at least 2 years focused on AI/ML in production environments
 </li>
 <li>
 Proven expertise in developing and deploying large language models (LLMs) and transformer architectures
 </li>
 <li>
 Strong full-stack development skills with production experience in modern web frameworks
 </li>
 <li>
 Extensive hands-on experience with major cloud platforms (AWS, GCP, Azure) including serverless architectures and container orchestration
 </li>
 <li>
 Proficiency in Python and at least one additional programming language (JavaScript/TypeScript, Go, Java, or similar)
 </li>
 <li>
 Experience with Linux systems administration and DevOps practices
 </li>
 <li>
 Track record of building and scaling production systems handling significant traffic or data volumes
 </li>
 <li>
 Understanding of financial services, fintech applications, or regulated environments
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
 </li>
 <li>
 Fluency in English required; Arabic language skills preferred
 </li>
 </ul>
 
 
 
 
 
 Technical Expertise Required:
 
 
 
 
 AI &amp; Machine Learning:
 
 
 <ul>
 <li>
 Hands-on experience with LLM frameworks (OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face)
 </li>
 <li>
 Proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn)
 </li>
 <li>
 Experience with prompt engineering, fine-tuning, and RAG architectures
 </li>
 <li>
 Knowledge of vector databases and embedding systems
 </li>
 <li>
 MLOps and model deployment pipelines
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Infrastructure:
 
 
 <ul>
 <li>
 Advanced proficiency in AWS, GCP, or Azure services (compute, storage, networking, AI/ML services)
 </li>
 <li>
 Experience with Infrastructure as Code (Terraform, CloudFormation, Pulumi)
 </li>
 <li>
 Container orchestration (Kubernetes, Docker, ECS/EKS/GKE)
 </li>
 <li>
 Serverless architectures and edge computing platforms
 </li>
 <li>
 Message queuing and streaming systems (Kafka, RabbitMQ, Pub/Sub)
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Development:
 
 
 <ul>
 <li>
 Frontend frameworks (React, Next.js, Vue.js, or Angular)
 </li>
 <li>
 Backend development (Node.js, FastAPI, Django, Spring Boot)
 </li>
 <li>
 RESTful APIs and GraphQL
 </li>
 <li>
 Database systems (PostgreSQL, MongoDB, Redis, DynamoDB)
 </li>
 <li>
 Web servers and proxies (Apache, Nginx, Caddy)
 </li>
 </ul>
 
 
 
 
 
 DevOps &amp; Security:
 
 
 <ul>
 <li>
 CI/CD pipelines and automation
 </li>
 <li>
 Monitoring and observability (Prometheus, Grafana, ELK stack)
 </li>
 <li>
 Security best practices for financial applications
 </li>
 <li>
 Performance optimization and load testing
 </li>
 </ul>
 
 
 
 
 
 Critical Competencies:
 
 
 <ul>
 <li>
 Builder Mentality: Obsession with shipping code and building products, not just architecting solutions
 </li>
 <li>
 Problem-Solving: Ability to tackle ambiguous technical challenges and deliver practical solutions quickly
 </li>
 <li>
 Technical Leadership: Capability to make architectural decisions and guide technical direction across teams
 </li>
 <li>
 Innovation Drive: Passion for exploring and implementing cutting-edge AI technologies in practical applications
 </li>
 <li>
 Rapid Prototyping: Ability to quickly build POCs and MVPs to validate ideas
 </li>
 <li>
 Cross-functional Collaboration: Strong communication skills to work with non-technical stakeholders
 </li>
 <li>
 Learning Agility: Continuous learner who stays current with rapidly evolving AI/ML landscape
 </li>
 <li>
 Pragmatic Approach: Balances technical excellence with business needs and time-to-market
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience building AI applications specifically for financial services (fraud detection, risk assessment, robo-advisory)
 </li>
 <li>
 Knowledge of edge AI and on-device inference optimization
 </li>
 <li>
 Contributions to open-source AI/ML projects
 </li>
 <li>
 Experience with blockchain or distributed ledger technologies
 </li>
 <li>
 Background in quantitative finance or algorithmic trading
 </li>
 <li>
 Previous startup or venture studio experience
 </li>
 <li>
 Publications or speaking engagements in AI/ML
 </li>
 <li>
 Experience with Arabic NLP and language models
 </li>
 <li>
 Knowledge of regulatory compliance in AI (explainable AI, bias detection)
 </li>
 <li>
 Expertise in specific domains: computer vision, NLP, time series analysis, or recommendation systems
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 Riyadh, Saudi Arabia
 
</div>

Software Engineer

Explore 822+ Ai engineer in Saudi Arabia this September. Find roles across top companies and apply now to boost your career.

822 ai engineer jobs IN Saudi Arabia

AI Engineer

AI Engineer

Applied AI Engineer - Financial Services

Generative AI Engineer (Saudi-based only)

Gen AI Engineer (Arabic-Speaking, Riyadh-Based)

Senior AI Engineer - Data & Infrastructure for Multimodal Models (100% Remote)

Software Engineer