AI & Infrastructure Engineer ISKT-001

AI & Infrastructure EngineerExperience: 3–5 Years of experienceLocation: SingaporeKey ResponsibilitiesDeploy and manage AI/ML models in cloud environments.Develop AI applications using Python.Build AI agents using LangGraph and AgentCore Runtime.Set up and maintain AWS infrastructure, including EC2, S3, Lambda, IAM and VPC.Build and manage Docker containers for AI applications.Develop and maintain CI/CD pipelines for automated deployment.Monitor application performance, infrastructure health and cloud costs.Implement security, access control, backup and recovery practices.Troubleshoot AI application and infrastructure issues.Work with development teams to support AI model integration and production deployment.Required Skills3–5 years of experience in AI/ML engineering, cloud infrastructure or DevOps, Python development and AI engineeringHands-on experience with LLMs, AI agents and LangGraph.Hands-on experience with AWS services such as EC2, S3, Lambda, IAM and VPC.Experience with Docker and container deployment.Knowledge of Python and Linux.Experience deploying AI/ML models and integrating APIs.Familiarity with CI/CD tools such as Jenkins or GitHub Actions.Knowledge of monitoring, logging, networking and cloud security.Good to HaveExperience with Amazon SageMaker or AWS Bedrock.Knowledge of Kubernetes and infrastructure as code using Terraform or CloudFormation.Experience with GPU-based AI model deployment.Familiarity with LLMs and generative AI applications.