AI & Infrastructure Engineer ISKT-001

AI & Infrastructure Engineer

Experience: 3–5 Years of experience

Location: Singapore

Key Responsibilities

• Deploy 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 Skills

• 3–5 years of experience in AI/ML engineering, cloud infrastructure or DevOps, Python development and AI engineering
• Hands-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 Have

• Experience 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.