AI Engineer

Key Skills Design scalable, secure, highly available AWS architectures aligned with business requirements. Design, develop, and maintain RESTful and event-driven APIs. Build secure API layers for AI services and enterprise applications. Utilize Claude Kiro CLI and AI-assisted development tools to build REST and SOAP APIs. Knowledge of AWS API Gateway, Lambda, ECS/EKS, Containerized services, AWS AI/ML Services, Generative AI and LLM Integration, RAG Architecture, Vector Databases, REST APIs and Microservices Knowledge of Event-Driven Architectures, Docker and Kubernetes, Terraform and CloudFormation, Python, Java, Node.js, SQL and NoSQL Databases. Implement authentication and authorization using OAuth2, JWT, IAM, and API security best practices. Create reusable microservices and middleware components. Build CI/CD pipelines for application and AI model deployment. Nice to Have Skills Experience with IBM Host Access Transformation Services (HATS). Knowledge of transforming green-screen applications into web-based interfaces. Experience integrating HATS applications with modern API-based architectures.