AI API Developer

Master-Works; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

An AI-focused technology company in the Riyadh Region is seeking an experienced AI API Developer to enhance API services for large language models and AI capabilities. The ideal candidate will have strong skills in API development, cloud platforms, and a background in AI integration. You'll design secure APIs, ensure compliance, and contribute to continuous improvement within a dynamic team environment.

Qualifications

• Proven experience in API development using Python, Go, or Node.js.
• Strong knowledge of infrastructure-as-code (IaC).
• Experience integrating AI/ML models or LLMs into production environments is a plus.

Responsibilities

• Design, develop, and maintain RESTful APIs.
• Integrate APIs with internal systems and enterprise applications.
• Implement scalable database solutions for user queries.

Skills

API development (REST/GraphQL)

Cloud platforms (AWS, Azure, GCP)

Problem-solving skills

Containerization (Docker, Kubernetes)

Authentication protocols (OAuth2, SAML, SSO)

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

Tools

CI/CD pipelines

Observability tools (e.g., Prometheus, ELK, Datadog)

Job description

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 LLMsinto 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 systemsand tool integrations.
• Familiarity withmulti-cloud environmentsand migration strategies.
• Exposure toenterprise-scale API governanceand documentation standards.