Generative AI Engineer

About the job

Description: - Design and implement Generative AI applications using AWS - Bedrock, including: - Bedrock Agent Core SDK Foundation Models (FM) integration - Prompt engineering and agent orchestration - Build AI workflows using AWS Strands SDK for scalable model execution and orchestration - Develop and maintain reusable AI components, APIs, and services in Python - Optimize model performance, latency, and cost for production workloads AWS-Native Application Development - Design and develop cloud-native applications on AWS using: - AWS Lambda, ECS/EKS, EC2 - API Gateway / Application Load Balancer - S3, DynamoDB, Aurora, OpenSearch - Implement secure IAM roles and policies aligned with least-privilege principles - Build event-driven and microservices-based architectures - Design and maintain CI/CD pipelines using tools such as: - AWS Code Pipeline / Code Build / Code Deploy - GitHub Actions / GitLab CI (as applicable) - Infrastructure as Code (IaC) using: - AWS Cloud Formation / CDK / Terraform - Automate build, test, deployment, and rollbacks for GenAI workloads (ref:hirist.tech)

Requirements

• Generative AI
• AWS
• Python
• CI/CD
• Infrastructure as Code

Preferred Technologies

• Generative AI
• AWS
• Python
• CI/CD
• Infrastructure as Code