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AI API Developer

Master-Works

Saudi Arabia

On-site

SAR 200,000 - 300,000

Full time

Today
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Job summary

A leading technology company in Saudi Arabia seeks an experienced AI API Developer to build secure, scalable API services for integrating large language models and AI capabilities into enterprise systems. Key responsibilities include developing RESTful APIs, collaborating with LLMOps engineers, and implementing compliance standards. The ideal candidate holds a degree in Computer Science and has proven experience in API development, cloud platforms, and problem-solving skills.

Qualifications

  • Proven experience in API development with Python, Go, or Node.js.
  • Strong knowledge of IaC and CI/CD pipelines.
  • Experience in integrating AI/ML models into production environments is a plus.

Responsibilities

  • Design and maintain RESTful APIs for user interactions and queries.
  • Collaborate with LLMOps engineers for deploying LLMs.
  • Implement strong access controls and compliance standards.

Skills

API development
Cloud platforms (AWS, Azure, GCP)
Problem-solving skills
Knowledge of observability tools

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Docker
Kubernetes
Job description
Job Overview

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
  • 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 a 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.
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