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MASTER-WORKS

<div>Master Works is seeking a skilled AI API Developer to join our AI Core Delivery team within the AI &amp; 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<ul>
<li>API Development &amp; Integration</li>
<li><ul><li>Design, develop, and maintain RESTful APIs to handle user interactions, queries, and AI-generated responses.</li>
<li>Integrate APIs with internal systems, external data sources, and enterprise applications to enable data retrieval and AI-driven actions.</li>
<li>Ensure APIs support Single Sign-On (SSO) and enterprise authentication (e.g., STC AD).</li>
</ul></li><li>Backend Architecture &amp; Performance</li>
<li><ul><li>Implement scalable database solutions to store user queries, responses, and analytics.</li>
<li>Optimize API performance with caching mechanisms, load balancing, and multi-cloud readiness.</li>
<li>Develop robust logging and monitoring solutions for API performance and troubleshooting.</li>
</ul></li><li>AI &amp; LLMOps Support</li>
<li><ul><li>Collaborate with LLMOps engineers to deploy and manage LLMs via secure and observable API endpoints.</li>
<li>Enable agentic AI capabilities by integrating APIs with automation tools and external services.</li>
<li>Support evaluation pipelines to measure AI performance, accuracy, and relevance.</li>
</ul></li><li>Security &amp; Compliance</li>
<li><ul><li>Implement strong access controls, data encryption, and enterprise security policies.</li>
<li>Ensure compliance with internal governance, audit requirements, and data privacy standards.</li>
</ul></li><li>DevOps &amp; Continuous Improvement</li>
<li><ul><li>Participate in CI/CD workflows for API deployment and updates.</li>
<li>Debug backend/API issues, authentication errors, and AI response failures.</li>
<li>Incorporate user feedback to improve API usability and reliability.</li>
</ul></li></ul>Requirements
Qualifications<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or related field.</li>
<li>Proven experience in API development (REST/GraphQL) using Python, Go, or Node.js.</li>
<li>Strong knowledge of cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (IaC).</li>
<li>Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.</li>
<li>Experience integrating AI/ML models or LLMs into production environments is a plus.</li>
<li>Understanding of authentication protocols (OAuth2, SAML, SSO) and enterprise security.</li>
<li>Solid problem-solving skills, debugging expertise, and knowledge of observability tools (e.g., Prometheus, ELK, Datadog).</li>
</ul>Preferred Skills<ul>
<li>Knowledge of Retrieval-Augmented Generation (RAG) pipelines and vector databases.</li>
<li>Experience with agentic AI systems and tool integrations.</li>
<li>Familiarity with multi-cloud environments and migration strategies.</li>
<li>Exposure to enterprise-scale API governance and documentation standards.</li></ul></div>

AI API Developer

Master Works

<div>
 Master Works is seeking a skilled AI API Developer to join our AI Core Delivery team within the AI &amp; 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
 
 
 
 <ul>
 <li>
 API Development &amp; Integration
 </li>
 <ul>
 <li>
 Design, develop, and maintain RESTful APIs to handle user interactions, queries, and AI-generated responses
 </li>
 <li>
 Integrate APIs with internal systems, external data sources, and enterprise applications to enable data retrieval and AI-driven actions
 </li>
 <li>
 Ensure APIs support Single Sign-On (SSO) and enterprise authentication (e.g., STC AD)
 </li>
 </ul>
 <li>
 Backend Architecture &amp; Performance
 </li>
 <ul>
 <li>
 Implement scalable database solutions to store user queries, responses, and analytics
 </li>
 <li>
 Optimize API performance with caching mechanisms, load balancing, and multi-cloud readiness
 </li>
 <li>
 Develop robust logging and monitoring solutions for API performance and troubleshooting
 </li>
 </ul>
 <li>
 AI &amp; LLMOps Support
 </li>
 <ul>
 <li>
 Collaborate with LLMOps engineers to deploy and manage LLMs via secure and observable API endpoints
 </li>
 <li>
 Enable agentic AI capabilities by integrating APIs with automation tools and external services
 </li>
 <li>
 Support evaluation pipelines to measure AI performance, accuracy, and relevance
 </li>
 </ul>
 <li>
 Security &amp; Compliance
 </li>
 <ul>
 <li>
 Implement strong access controls, data encryption, and enterprise security policies
 </li>
 <li>
 Ensure compliance with internal governance, audit requirements, and data privacy standards
 </li>
 </ul>
 <li>
 DevOps &amp; Continuous Improvement
 </li>
 <ul>
 <li>
 Participate in CI/CD workflows for API deployment and updates
 </li>
 <li>
 Debug backend/API issues, authentication errors, and AI response failures
 </li>
 <li>
 Incorporate user feedback to improve API usability and reliability
 
 
 </li>
 </ul>
 </ul>
 
 Requirements
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
 </li>
 <li>
 Proven experience in API development (REST/GraphQL) using Python, Go, or Node.js
 </li>
 <li>
 Strong knowledge of cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (IaC)
 </li>
 <li>
 Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines
 </li>
 <li>
 Experience integrating AI/ML models or LLMs into production environments is a plus
 </li>
 <li>
 Understanding of authentication protocols (OAuth2, SAML, SSO) and enterprise security
 </li>
 <li>
 Solid problem-solving skills, debugging expertise, and knowledge of observability tools (e.g., Prometheus, ELK, Datadog)
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Knowledge of Retrieval-Augmented Generation (RAG) pipelines and vector databases
 </li>
 <li>
 Experience with agentic AI systems and tool integrations
 </li>
 <li>
 Familiarity with multi-cloud environments and migration strategies
 </li>
 <li>
 Exposure to enterprise-scale API governance and documentation standards
 </li>
 </ul>
</div>

<div>An Apigee Integration developer specializes in the design of predictive analytics software applications for identifying opportunities and risks along with API management for analysis of user engagement. In this role, your responsibilities include the testing, implementation, and maintenance of Cloud hosting solutions. You must develop and configure them based on consumer specifications and needs. The Apigee product line offers a suite of API management products that you can use to customize a business platform. Duties involve documenting the development process, troubleshooting issues, and testing.<ul>
<li>Develop, configure and maintain applications based on consumer needs</li>
<li>Manage and customize various business platforms</li>
<li>Implement APIs</li>
<li>Harness analytics to create actionable insights</li>
<li>Create API product bundles</li>
<li>Define API strategies and execution</li>
<li>Provide documentation and support for APIs</li>
<li>Enhance or maintain existing APIs</li>
</ul>Requirements<ul>
<li>Must have experience and expertise on Google Apigee (API Management ) , developing API proxies and applying APIs policies.</li>
<li>Must have experience on doing reverse engineering exercise on existed code and do changes and maintenance</li>
<li>Must have experience &amp; knowledge on GitHub , GIT and GitLab or any other source code repositories.</li>
<li>Must have knowledge on Google Apigee Middleware (Apigee Application Integration)</li>
<li>Must have expertise on GCP products and how to integrate it GCP products with Apigee Application Integration with GCP SQL , Google Cloud SQL , GCP Cloud Functions.</li>
<li>Must have knowledge and expertise on developing REST ,SOAP , Wrapper services , SFTP and message queue based services .</li>
<li>Must have experience and knowledge on APIs security mechanisms(OAUTH2 , OAUTH , Basic Authentication , JWT).</li>
<li>Must have knowledge &amp; experience on APIs contracts WSDL , Swagger and OpenAPI specifications and how to develop API contract for consumer</li>
<li>knowledge on Oracle Fusion is plus and preferable.</li>
<li>knowledge on OIC(Oracle Integration Cloud) is plus and preferable.</li></ul></div>

Apigee Integration developer

TAWANTECH

<div>Responsibilities:<ul>
<li>Integrate AI solutions seamlessly with existing enterprise systems and workflows.
</li><li>Conduct open-source integration projects with current and new IT infrastructures.
</li><li>Develop end-to-end AI solutions and design custom AI applications tailored to business use cases.
</li><li>Implement AI-driven systems to meet specific organizational requirements, including automation and predictive analytics.</li>
</ul>Requirements<ul>
<li>Bachelor&rsquo;s degree in IT, Computer Science, Software Engineering, or related field.
</li><li>Minimum 7 years of experience in AI solution integration and end-to-end implementation.
</li><li>Expertise in AI/ML deployment, NLP, Deep Learning, RPA, Computer Vision, Gen AI, Agentic AI, OSINT, GEOINT.
</li><li>Strong skills in API integration, cloud platforms (AWS/Azure/GCP), and data pipeline design.</li></ul></div>

AI Integration Expert

Emdad By Elm

<div>
 Job Overview:
 
 
 We are looking for an experienced Senior Developer to design and build secure, high-performance software solutions. This role requires strong technical skills in Java/JEE and modern web technologies, with the ability to work independently and collaboratively across teams. The ideal candidate will contribute to system design, mentor junior developers, and support the team lead in delivering high-quality applications.
 
 
 Key Responsibilities:
 
 
 Design, develop, and maintain scalable backend and web applications.
 
 
 Collaborate with architects and product teams on technical design and solutioning.
 
 
 Estimate development efforts and propose effective implementation strategies.
 
 
 Ensure code quality, security, and performance through best practices and unit testing.
 
 
 Work with RDBMS, NoSQL, messaging systems, and API gateways.
 
 
 Integrate with REST/SOAP services and implement security features (e.g., encryption, keystores).
 
 
 Requirements:
 
 
 Bachelor&rsquo;s degree in computer science or related field.
 
 
 6+ years of experience in enterprise software development.
 
 
 Strong proficiency in Java/JEE and Spring framework.
 
 
 Familiarity with HTML, JavaScript/TypeScript, CSS/SASS.
 
 
 Experience with API gateways, app servers, and message queues.
 
 
 Knowledge of secure coding practices and data privacy standards.
 
 
 Excellent analytical, communication, and collaboration skills
</div>

Senior API Engineer

Jeel

<div>
 
 
 🌐 Join Jeel as a Senior Backend Developer
 
 
 
 📍
 
 Location:
 
 Riyadh, Saudi Arabia
 
 
 🏢
 
 Department:
 
 Technology &ndash; Engineering Chapter
 
 
 👤
 
 Reporting To:
 
 Engineering Chapter Lead
 
 
 
 
 
 
 Want to code the future of digital banking in Saudi Arabia?
 
 
 
 
 Jeel
 
 , a fast-growing digital IT company and
 
 wholly owned subsidiary of Riyad Bank
 
 , is looking for a
 
 Senior Backend Developer
 
 who&rsquo;s ready to engineer bold, secure, and scalable platforms from the ground up.
 
 
 If RESTful APIs, Spring Boot, Quarkus, and microservices make you tick &mdash; and you're hungry to make real impact &mdash; we want to meet you.
 
 
 We&rsquo;re reshaping the digital economy, one API at a time.
 
 
 
 
 
 
 🚀 What You&rsquo;ll Do
 
 
 
 🧠 Architect and develop secure, scalable RESTful APIs using Spring Boot and Quarkus
 
 
 ☁ Build cloud-native microservices with Docker, Kubernetes, and CI/CD tools
 
 
 🛡 Implement security protocols (OAuth2, JWT, RBAC) aligned with ISO 27001, SAMA, NIST
 
 
 📈 Optimise performance with monitoring tools (Prometheus, Grafana, OpenTelemetry)
 
 
 🤝 Collaborate with DevOps, Security, Product, and Architecture teams to deliver resilient platforms
 
 
 👨&zwj;🏫 Mentor junior developers and raise the bar on backend engineering practices
 
 
 
 
 
 
 🎯 What We&rsquo;re Looking For
 
 
 
 🎓 Bachelor&rsquo;s in Computer Science, Software Engineering, or a related field
 
 
 📜 Certifications in Java, Spring, Kubernetes, or Cloud DevOps are a plus
 
 
 💼 7+ years of hands-on backend development experience
 
 
 🧰 Strong command of Java 11/17+, Spring Boot, microservices, and REST API design
 
 
 ☁ Experience with cloud platforms (GCP, AWS, or Azure), Docker, and Kubernetes
 
 
 🛠 Solid grasp of database technologies (PostgreSQL, MongoDB) and CI/CD pipelines
 
 
 🗣 Agile mindset with excellent communication and stakeholder collaboration skills
 
 
 
 
 
 
 🌟 Why Jeel?
 
 
 
 ✨ Be part of a cutting-edge digital company backed by the strength and legacy of
 
 Riyad Bank
 
 
 
 💡 Collaborate with top-tier tech experts, strategists, and product minds
 
 
 🚀 Work in a scale-up environment where your ideas shape the future
 
 
 📚 Access continuous learning, mentorship, and leadership pathways
 
 
 🎉 Thrive in a culture that values ownership, agility, and bold innovation
 
 
 
 
 
 
 📩 Ready to build what matters?
 
 
 
 Apply via LinkedIn or send your CV to
 
 careers@jeel.net
 
 
 
 
</div>

Back End Developer

<div>Job Overview:
Master Works is looking for a highly skilled LLM Engineer to join our AI Core Delivery team within the AI &amp; Analytics CoE. In this role, you will develop, deploy, and optimize advanced language model capabilities, including Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems. You will play a key role in scaling AI Core as the central enterprise AI platform by ensuring production-ready performance, robust observability, and seamless integration of LLMs with internal and external systems.
Key Responsibilities<ul>
<li>Model Development &amp; Optimization</li>
<li><ul><li>Build and optimize RAG pipelines for efficient document processing, indexing, and retrieval.</li>
<li>Implement agentic AI logic for tool integration, task automation, and external data access.</li>
<li>Enhance query understanding, response ranking, and AI-generated output quality.</li>
<li>Develop evaluation benchmarks to measure LLM performance, accuracy, and relevance.</li>
</ul></li><li>LLMOps &amp; Deployment</li>
<li><ul><li>Collaborate with API developers and backend engineers to deliver secure, observable LLM endpoints.</li>
<li>Deploy and manage LLMs in cloud-native or hybrid environments with support for scalability and multi-cloud readiness.</li>
<li>Implement CI/CD workflows for model updates, rollback mechanisms, and performance tuning.</li>
</ul></li><li>Backend &amp; Data Integration</li>
<li><ul><li>Integrate LLM capabilities with enterprise data sources and knowledge bases.</li>
<li>Support multi-source retrieval and embedding strategies to improve AI responses.</li>
<li>Design pipelines that ensure low latency, high throughput, and fault tolerance.</li>
</ul></li><li>Security &amp; Compliance</li>
<li><ul><li>Apply enterprise-grade authentication, access management, and encryption standards.</li>
<li>Ensure compliance with internal governance policies, data privacy, and audit requirements.</li>
</ul></li><li>Continuous Improvement</li>
<li><ul><li>Monitor system performance, debug issues, and fine-tune models based on real-world feedback.</li>
<li>Stay updated on advancements in LLM architectures, open-source tools, and evaluation frameworks.</li>
</ul></li></ul>Requirements<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related field.</li>
<li>Hands-on experience with LLM development and deployment (OpenAI, Anthropic, Hugging Face, LLaMA, etc.).</li>
<li>Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, and vector databases.</li>
<li>Experience with cloud environments (AWS, Azure, GCP) and infrastructure-as-code (IaC).</li>
<li>Proficiency with Python or similar languages for AI/ML pipeline development.</li>
<li>Familiarity with container orchestration (Docker, Kubernetes) and CI/CD practices.</li>
<li>Knowledge of observability tools for monitoring AI performance in production environments.</li>
</ul>Preferred Skills<ul>
<li>Experience integrating agentic AI capabilities with external APIs and automation tools.</li>
<li>Strong grasp of prompt engineering, contextual memory systems, and LLM evaluation.</li>
<li>Exposure to enterprise AI security and compliance standards.</li></ul></div>

LLM Engineers

Explore 324+ Ai api developer in Riyadh this September. Find roles across top companies and apply now to boost your career.

324 ai api developer jobs IN Riyadh

AI API Developer

AI API Developer

Apigee Integration developer

AI Integration Expert

Senior API Engineer

Back End Developer

LLM Engineers