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
