GenAI Engineer (AWS & Terraform)

The organization seeks a GenAI Engineer to lead migration and operationalisation of generative AI applications on Amazon Web Services with infrastructure-as-code and cloud services.

• Proven experience designing and operating AWS solutions including EKS/ECS, Lambda, SageMaker, and Bedrock.
• Practical experience with Terraform for infrastructure-as-code.
• Strong skills in containerisation with Docker and orchestration using Kubernetes.
• Experience building CI/CD pipelines with GitHub Actions, GitLab CI, or Jenkins.
• Proficiency in at least one programming language used for GenAI applications such as Python or Java.
• Familiarity with large language models and agent frameworks and their cloud integration.
• Understanding of cloud security controls, IAM, VPC networking, and monitoring/observability.
• Ability to work in a hybrid environment coordinating remote and on-site stakeholders.

• Plan and execute migration of GenAI applications to AWS with minimal disruption and validated performance.
• Design, implement and maintain infrastructure-as-code using Terraform.
• Deploy and configure AWS services including EKS, ECS, Lambda, Bedrock, SageMaker, API Gateway, IAM, and VPC.
• Containerize applications using Docker and manage orchestration with Kubernetes.
• Define and maintain CI/CD pipelines using GitHub Actions, GitLab CI, or Jenkins.
• Implement cloud infrastructure security best practices such as identity and access management, network segmentation, and secrets management.
• Establish monitoring, logging, and alerting with tools like CloudWatch.
• Integrate and operationalise LLMs and agent frameworks including OpenAI, Claude, Llama, Mistral, LangGraph, LangChain, CrewAI, AutoGen, and Amazon Bedrock Agents.
• Collaborate with teams to define requirements, validate model performance, and support incident response.