AI API Developer
- الرياض
- دائم
- دوام كامل
- 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.
- 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).
- 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.