42 AI Developer jobs in Saudi Arabia

Bachelors in Computer Application, Bachelor of Technology/Engineering(Computers), Bachelor of Science(Computers)

Nationality

Any Nationality

Any

Vacancy

1 Vacancy

Job Description

Experience

2–4 years in professional software development, with hands‑on exposure to AI/ML projects.

Role Summary

Join our engineering team to design, build, and maintain production‑ready software and AI‑driven solutions—primarily in Python—serving both internal stakeholders and external customers.

Key Responsibilities

• Integrate AI/ML components—train, tune, and deploy models with TensorFlow, PyTorch, scikit‑learn, or similar libraries.
• Collaborate cross‑functionally with data scientists, DevOps, and product to translate requirements into robust technical solutions.
• Implement best‑practice engineering workflows: Git, CI/CD, automated testing, code reviews.
• Cloud deployment & monitoring on AWS, Azure, or GCP (Docker, Kubernetes, serverless functions).
• Document & present technical designs, user guides, and post‑release retrospectives.
• Required Qualifications
• Bachelor’s in Computer Science, Software Engineering, or a related field.
• 2–4 years building production software—strong proficiency in Python (OOP, async, typing).
• Solid grasp of data structures, algorithms, and software design patterns.
• Experience integrating or developing machine‑learning models (classification, NLP, CV, or time‑series).
• Familiarity with RESTful APIs, relational & NoSQL databases (PostgreSQL, MongoDB).
• Comfort with Git‑based workflows, automated testing (pytest), and CI/CD (GitHub Actions, GitLab CI).
• Working knowledge of Linux and containerization (Docker).
• Exposure to Kubernetes, Terraform, or other IaC tools.
• Experience with MLOps platforms
• Knowledge of data‑streaming tools (Kafka, Pulsar) or real‑time analytics stacks.
• Soft Skills
• Clear, concise communication—able to explain technical topics to non‑technical audiences.
• Proactive problem‑solver who thrives in agile, iterative environments.
• Strong sense of code ownership and commitment to high quality.

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We Leap Networks is a Systems Integrator, solutions provider, vendors’ independent and rely on technology, we dedicated to create and innovate future solutions that brings tomorrow’s technology within the grasp of today. Our focus is our customer and our intuition is our strengthMissionOur mission is to engineer, design and build telecom, information and security networks that meet our clients specific functional requirements considering the future technological trends in the most reliable, efficient, cost effective fashion adhering to the highest code of quality, safety standards and being environmentally conscious.VisionWe leap into the future, capitalizing on our strengths, seizing opportunities, Establishing ourselves as the world’s leading telecom systems integrator and engineering solutions provider. Creating value for our customers, shareholders, community, vendors, and employees.

Leap Networks Arabia Company.

We Leap Networks is a Systems Integrator, solutions provider, vendors’ independent and rely on technology, we dedicated to create and innovate future solutions that brings tomorrow’s technology within the grasp of today. Our focus is our customer and our intuition is our strengthMissionOur mission is to engineer, design and build telecom, information and security networks that meet our clients specific functional requirements considering the future technological trends in the most reliable, efficient, cost effective fashion adhering to the highest code of quality, safety standards and being environmentally conscious.VisionWe leap into the future, capitalizing on our strengths, seizing opportunities, Establishing ourselves as the world’s leading telecom systems integrator and engineering solutions provider. Creating value for our customers, shareholders, community, vendors, and employees.

Ms. Aamna

7541 King Khalid Branch 2696, Ibn SinaDist AlKhobar, Dammam/Khobar/Eastern Province, Saudi Arabia

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A leading technology firm specializing in innovative solutions across various sectors is seeking an Agentic AI Developer to join their team and drive AI development initiatives.

• Design, implement, and maintain AI models and algorithms to solve complex problems.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Stay updated with the latest AI trends and technologies to ensure organizational innovation.
• Analyze large datasets to train and optimize AI models.
• Monitor and improve the performance of AI systems continuously.
• Prepare comprehensive documentation for AI models, algorithms, and processes.

• Strong knowledge of AI frameworks and programming languages.
• Ability to analyze complex data and develop effective AI solutions.
• Excellent written and verbal communication skills for collaboration and presentation.
• Proactive problem-solving skills to identify issues and implement solutions.
• Keen attention to detail in AI model development and documentation.
• Creative thinking to stay ahead of industry trends.

With over 28 years of experience, Halian provides innovative, practical solutions that transform businesses and careers. Our services help realize tomorrow’s potential by bringing the right people and technologies together.

We are committed to diversity, equity, and inclusion (DEI), connecting organizations with top talent from all backgrounds to foster high-performing, innovative workplaces.

Riyadh, Saudi Arabia

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Staffing and Recruiting

Master Works is seeking a skilled AI API Developer to join our AI Core Delivery team within the AI & Analytics CoE. In this role, you will build secure, scalable API services to integrate large language models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and agentic AI capabilities into enterprise systems. You will play a key role in delivering the AI Core platform as a unified, intelligent, and production-ready foundation for enterprise AI applications.

Key Responsibilities

• API Development & Integration
• Design, develop, and maintain RESTful APIs to handle user interactions, queries, and AI-generated responses.
• Integrate APIs with internal systems, external data sources, and enterprise applications to enable data retrieval and AI-driven actions.
• Ensure APIs support Single Sign-On (SSO) and enterprise authentication (e.g., STC AD).
• Backend Architecture & Performance
• Implement scalable database solutions to store user queries, responses, and analytics.
• Optimize API performance with caching mechanisms, load balancing, and multi-cloud readiness.
• Develop robust logging and monitoring solutions for API performance and troubleshooting.
• AI & LLMOps Support
• Collaborate with LLMOps engineers to deploy and manage LLMs via secure and observable API endpoints.
• Enable agentic AI capabilities by integrating APIs with automation tools and external services.
• Support evaluation pipelines to measure AI performance, accuracy, and relevance.
• Security & Compliance
• Implement strong access controls, data encryption, and enterprise security policies.
• Ensure compliance with internal governance, audit requirements, and data privacy standards.
• DevOps & Continuous Improvement
• Participate in CI/CD workflows for API deployment and updates.
• Debug backend/API issues, authentication errors, and AI response failures.
• Incorporate user feedback to improve API usability and reliability.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• Proven experience inAPI development (REST/GraphQL) using Python, Go, or Node.js.
• Strong knowledge ofcloud platforms (AWS, Azure, GCP) and infrastructure-as-code (IaC).
• Familiarity withcontainerization (Docker, Kubernetes) and CI/CD pipelines.
• Experience integratingAI/ML models or LLMs into production environments is a plus.
• Understanding ofauthentication protocols (OAuth2, SAML, SSO) and enterprise security.
• Solid problem-solving skills, debugging expertise, and knowledge of observability tools (e.g., Prometheus, ELK, Datadog).

Preferred Skills

• Knowledge ofRetrieval-Augmented Generation (RAG) pipelines and vector databases.
• Experience withagentic AI systems and tool integrations.
• Familiarity withmulti-cloud environments and migration strategies.
• Exposure toenterprise-scale API governance and documentation standards.

Master Works is seeking a skilled AI API Developer to join our AI Core Delivery team within the AI & Analytics CoE. In this role, you will build secure, scalable API services to integrate large language models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and agentic AI capabilities into enterprise systems. You will play a key role in delivering the AI Core platform as a unified, intelligent, and production-ready foundation for enterprise AI applications.

Key Responsibilities

• API Development & Integration
• Design, develop, and maintain RESTful APIs to handle user interactions, queries, and AI-generated responses.
• Integrate APIs with internal systems, external data sources, and enterprise applications to enable data retrieval and AI-driven actions.
• Ensure APIs support Single Sign-On (SSO) and enterprise authentication (e.g., STC AD).
• Backend Architecture & Performance
• Implement scalable database solutions to store user queries, responses, and analytics.
• Optimize API performance with caching mechanisms, load balancing, and multi-cloud readiness.
• Develop robust logging and monitoring solutions for API performance and troubleshooting.
• AI & LLMOps Support
• Collaborate with LLMOps engineers to deploy and manage LLMs via secure and observable API endpoints.
• Enable agentic AI capabilities by integrating APIs with automation tools and external services.
• Support evaluation pipelines to measure AI performance, accuracy, and relevance.
• Security & Compliance
• Implement strong access controls, data encryption, and enterprise security policies.
• Ensure compliance with internal governance, audit requirements, and data privacy standards.
• DevOps & Continuous Improvement
• Participate in CI/CD workflows for API deployment and updates.
• Debug backend/API issues, authentication errors, and AI response failures.
• Incorporate user feedback to improve API usability and reliability.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• Proven experience in API development (REST/GraphQL) using Python, Go, or Node.js.
• Strong knowledge of cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (IaC).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Experience integrating AI/ML models or LLMs into production environments is a plus.
• Understanding of authentication protocols (OAuth2, SAML, SSO) and enterprise security.
• Solid problem-solving skills, debugging expertise, and knowledge of observability tools (e.g., Prometheus, ELK, Datadog).

Preferred Skills

• Knowledge of Retrieval-Augmented Generation (RAG) pipelines and vector databases.
• Experience with agentic AI systems and tool integrations.
• Familiarity with multi-cloud environments and migration strategies.
• Exposure to enterprise-scale API governance and documentation standards.

Bachelor of Technology/Engineering (Computers)

Nationality: Any Nationality

Vacancy: 1 Vacancy

The purpose of an AI engineer position is to design, develop, and implement artificial intelligence solutions to address complex problems and enhance processes within an organization. This role aims to leverage advanced algorithms, machine learning, and deep learning techniques to create intelligent systems that can analyze data, make predictions, and automate tasks. Ultimately, the AI engineer contributes to technological innovation, improves efficiency, and helps the organization stay competitive by harnessing the power of artificial intelligence in various applications, such as data analysis, image recognition, natural language processing, and more.

• Design and optimize machine learning algorithms for specific applications.
• Manage and preprocess large datasets to extract relevant features for training AI models.
• Train machine learning models and evaluate their performance through testing.
• Use programming languages (e.g., Python, Java) for AI development.
• Apply expertise in deep learning frameworks like TensorFlow or PyTorch to build and implement neural networks.
• Work closely with cross-functional teams, including data scientists, software engineers, and domain experts.
• Analyze complex problems and propose innovative AI solutions to address business challenges.
• Stay updated on the latest advancements in AI and integrate new technologies into existing systems.
• Ensure AI applications comply with ethical standards and legal regulations.
• Prepare comprehensive documentation for algorithms, models, and processes.
• Engage in ongoing learning to stay abreast of emerging technologies and industry trends.
• Assist in deploying AI models into production environments, ensuring scalability and efficiency.

• IT - Software Services

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—from backend infrastructure to prompt optimization.

• LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
• Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
• Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
• MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
• Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
• Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
• Evaluation & Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
• Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.

• Minimum Bachelor’s degree in Computer Science, Data Science, or a related field.
• Strong background in AI/ML, with a focus on generative models.
• Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
• Expertise in prompt engineering and prompt optimization for diverse tasks.
• Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
• Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
• Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
• Proactive mindset with the ability to take ownership of challenges and drive solutions.
• Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.

This is more than just an engineering role. it’s an opportunity to shape the infrastructure and technical future of Lucidya. You’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’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.

Get AI-powered advice on this job and more exclusive features.

Mirai, a Scopely company based in Riyadh, is building transformative AI solutions focused on enhancing productivity, automation, and data-driven decision-making within the company's internal operations and enterprise platforms.

Mirai is a subsidiary of Scopely, a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences such as "MONOPOLY GO!," "Star Trek Fleet Command," "Stumble Guys," "MARVEL Strike Force," and "Yahtzee With Buddies," among others. Recognized multiple times as one of Fast Company's "World's Most Innovative Companies," Scopely is a multi-billion-dollar business due to its ability to create long-lasting interactive experiences that players enjoy for years. Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America, and is home to many internal game development teams, referred to as Scopely Studios, with additional game studio partners across four continents.

Scopely was acquired by Savvy Games Group in July 2023 and is now an independent subsidiary of Savvy. Established in 2021 by Saudi Arabia's Public Investment Fund (PIF), Savvy Games Group is a games and esports company formed with a mission to drive the long-term growth and development of the broader technology and innovation industry worldwide.

We're seeking a talented and experienced Senior AI Engineer to join our growing GenAI team in Riyadh.

Mirai is seeking a seasoned and forward-thinking Senior AI Engineer to design and implement innovative AI systems and solutions that enhance automation, enterprise productivity, knowledge workflows, and decision intelligence across our internal platforms and tools. This role plays a key part in delivering scalable AI features that serve business and operational goals within Mirai and Scopely.

As part of our GenAI team, you will collaborate across disciplines to deploy cutting-edge AI models in production environments, contribute to technical strategy, and champion engineering excellence. This is a hands-on role that combines system design, implementation, and mentorship.

Requirements

AI Systems Development

• Lead the design and deployment of AI-powered systems supporting various internal and product use cases
• Develop scalable and maintainable APIs (e.g., using FastAPI) and integrate AI solutions into backend workflows
• Optimize machine learning models using frameworks such as PyTorch or TensorFlow
• Contribute to infrastructure development using cloud platforms (AWS, GCP, or similar), Docker, and Kubernetes
  
  

• Work closely with engineers, designers, and product stakeholders to translate business requirements into robust AI features
• Actively participate in code reviews, architectural discussions, and project planning
  
  

• Support junior engineers through mentorship, guidance, and knowledge sharing
• Drive best practices in MLOps, software engineering, and deployment
  
  

• Stay current with AI trends and propose applications of new research and technologies within our studio
  
  

• 5+ years of professional experience in AI/ML engineering, data science, or software development
• Strong Python development skills and experience with AI frameworks such as PyTorch or TensorFlow
• Experience building and deploying production-ready APIs and machine learning models
• Familiarity with CI/CD pipelines, version control (Git), and containerized development
• Strong communication and collaboration abilities
• Comfortable working independently and proactively in a fast-paced environment
  
  

• Experience working with LLMs, RAG pipelines, or generative AI solutions
• Exposure to MLOps workflows and tools
• Contributions to open-source projects or technical writing
• Passion for innovation and digital transformation
  
  

• VIP Medical insurance for employee and his parents
• Phone allowance
• Kids education allowance
• Gym allowance.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Other
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Mirai, a Scopely company by 2x

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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—from backend infrastructure to prompt optimization.

• LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
• Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
• Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
• MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
• Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
• Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
• Evaluation & Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
• Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.

• Minimum Bachelor’s degree in Computer Science, Data Science, or a related field.
• Strong background in AI/ML, with a focus on generative models.
• Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
• Expertise in prompt engineering and prompt optimization for diverse tasks.
• Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
• Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
• Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
• Proactive mindset with the ability to take ownership of challenges and drive solutions.
• Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.

This is more than just an engineering role. it’s an opportunity to shape the infrastructure and technical future of Lucidya. You’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’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.

The purpose of an AI engineer position is to design, develop, and implement artificial intelligence solutions to address complex problems and enhance processes within an organization. This role aims to leverage advanced algorithms, machine learning, and deep learning techniques to create intelligent systems that can analyze data, make predictions, and automate tasks. Ultimately, the AI engineer contributes to technological innovation, improves efficiency, and helps the organization stay competitive by harnessing the power of artificial intelligence in various applications, such as data analysis, image recognition, natural language processing, and more.

Requirements

• Design and optimize machine learning algorithms for specific applications.
• Manage and preprocess large datasets to extract relevant features for training AI models
• Train machine learning models and evaluate their performance through testing
• Use programming languages (e.g., Python, Java) for AI development
• Apply expertise in deep learning frameworks like TensorFlow or PyTorch to build and implement neural networks
• Work closely with cross-functional teams, including data scientists, software engineers, and domain experts
• Analyze complex problems and propose innovative AI solutions to address business challenges
• Stay updated on the latest advancements in AI and integrate new technologies into existing systems
• Ensure AI applications comply with ethical standards and legal regulations
• Prepare comprehensive documentation for algorithms, models, and processes
• Engage in ongoing learning to stay abreast of emerging technologies and industry trends
• Assist in deploying AI models into production environments, ensuring scalability and efficiency.

• Seniority level Mid-Senior level

• Employment type Full-time

• Industries IT Services and IT Consulting

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