63 Generative AI jobs in Saudi Arabia

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.

Overview

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.

Generative AI Engineer (Saudi-based only)

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.

• Entry level

• Full-time

• IT Services and IT Consulting

• IT Services and IT Consulting

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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

Why Join Us?

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.

• Seniority level: Entry level


• Employment type: Full-time


• Job function: IT Services and IT Consulting


• Industries: IT Services and IT Consulting

Get notified about new Generative AI Engineer jobs in Riyadh, Riyadh, Saudi Arabia .

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.

Müller's Solutions is seeking an innovative and driven AI Business Development Specialist to join our rapidly growing team. In this role, you will focus on identifying new opportunities within the Artificial Intelligence sector, driving adoption of AI solutions, and expanding our market presence.

Your expertise in AI technologies, combined with your passion for business development, will allow you to engage effectively with clients, understand their unique challenges, and present tailored AI-driven solutions to enhance their operations. You will play a vital role in building relationships and promoting our offerings in this cutting-edge field.

• Identify and pursue new business opportunities in the AI domain.
• Build and maintain strong relationships with existing and prospective clients.
• Conduct market research to stay updated on AI trends and competitive landscape.
• Develop and deliver presentations that effectively articulate the value and benefits of AI solutions.
• Collaborate with technical teams to align AI solutions with client requirements.
• Prepare strategic proposals and negotiate contracts with clients.
• Track and report on business development metrics and adjust strategies as needed.
• Represent Müller's Solutions at industry conferences and networking events to promote our AI services.

Müller's Solutions is seeking an innovative and driven AI Business Development Specialist to join our rapidly growing team. In this role, you will focus on identifying new opportunities within the Artificial Intelligence sector, driving adoption of AI solutions, and expanding our market presence.

Your expertise in AI technologies, combined with your passion for business development, will allow you to engage effectively with clients, understand their unique challenges, and present tailored AI-driven solutions to enhance their operations. You will play a vital role in building relationships and promoting our offerings in this cutting-edge field.

• Identify and pursue new business opportunities in the AI domain.
• Build and maintain strong relationships with existing and prospective clients.
• Conduct market research to stay updated on AI trends and competitive landscape.
• Develop and deliver presentations that effectively articulate the value and benefits of AI solutions.
• Collaborate with technical teams to align AI solutions with client requirements.
• Prepare strategic proposals and negotiate contracts with clients.
• Track and report on business development metrics and adjust strategies as needed.
• Represent Müller's Solutions at industry conferences and networking events to promote our AI services.

Lucidya is seeking an experienced AI Research Lead to spearhead our research initiatives and drive innovation in artificial intelligence. In this role, you will lead a team of AI researchers and data scientists, focusing on developing state-of-the-art machine learning models and algorithms that will enhance our products and services. Your expertise will guide the strategic direction of AI research and ensure alignment with business goals.

As an AI Research Lead, you will be responsible for designing and executing research projects, publishing findings in prestigious conferences and journals, and collaborating with cross-functional teams to implement AI solutions in real-world applications. You will play a critical role in fostering a culture of experimentation and continuous learning within the organization.

• Lead and manage AI research projects from conception through deployment, ensuring high-quality outcomes.
• Stay abreast of the latest advancements in AI and machine learning, incorporating cutting-edge techniques into research.
• Mentor junior researchers and promote knowledge sharing within the team.
• Collaborate with product teams to identify opportunities for AI integration and drive product innovation.
• Publish high-impact research papers and presentations at leading conferences.
• Build strong partnerships with academic institutions and industry leaders to foster collaboration.
• Develop frameworks for evaluating and validating AI models in real-world scenarios.

• Education:
• A PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience:
• 5+ years of experience in AI research, with a proven track record of leading research projects.
• Experience in developing and deploying machine learning models in production environments.
• Familiarity with various AI/machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proven ability to publish research findings at prominent conferences and journals.
• Technical Skills:
• Strong programming skills in Python and experience with data manipulation and statistical analysis.
• Solid understanding of AI concepts, algorithms, and best practices.
• Familiarity with big data technologies such as Hadoop or Spark is a plus.
• Soft Skills:
• Excellent communication skills, both written and verbal, for presenting research findings.
• Strong leadership and mentoring abilities.
• Ability to work collaboratively in a team-oriented environment.
• Other:
• Willingness to travel for collaboration with research partners and conferences.

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.

Overview

Lucidya is seeking an experienced AI Research Lead to spearhead our research initiatives and drive innovation in artificial intelligence. In this role, you will lead a team of AI researchers and data scientists, focusing on developing state-of-the-art machine learning models and algorithms that will enhance our products and services. Your expertise will guide the strategic direction of AI research and ensure alignment with business goals.

As an AI Research Lead, you will be responsible for designing and executing research projects, publishing findings in prestigious conferences and journals, and collaborating with cross-functional teams to implement AI solutions in real-world applications. You will play a critical role in fostering a culture of experimentation and continuous learning within the organization.

• Lead and manage AI research projects from conception through deployment, ensuring high-quality outcomes.
• Stay abreast of the latest advancements in AI and machine learning, incorporating cutting-edge techniques into research.
• Mentor junior researchers and promote knowledge sharing within the team.
• Collaborate with product teams to identify opportunities for AI integration and drive product innovation.
• Publish high-impact research papers and presentations at leading conferences.
• Build strong partnerships with academic institutions and industry leaders to foster collaboration.
• Develop frameworks for evaluating and validating AI models in real-world scenarios.