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.
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.