AI API Developer

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.

Requirements

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.