GenAI DevOps Engineer AI Engineer
Job Location:
Los Angeles, CA - USA
Monthly Salary:
Not provided by the employer
Posted:
26 October 2026 (13 hours ago)
Application Deadline:
23 January 2027
Vacancies:
1 Vacancy
Job Summary
Our client is seeking a GenAI DevOps Engineer / AI Engineer to design develop and deploy intelligent AI agents using Claude Agent SDK and Amazon Bedrock building production-grade agent workflows and implementing CI/CD automation in a cloud-native environment.
Responsibilities & Qualifications
- Design develop and implement AI agents using the Claude Agent SDK and Amazon Bedrock AgentCore Runtime
- Build agent workflows in Python or TypeScript including tool calling MCP integrations and API orchestration
- Develop and maintain automated CI/CD pipelines using GitHub Actions for agent builds testing and deployments
- Configure and manage AWS infrastructure including IAM policies ECR registries Docker containerization and cloud security best practices
- Monitor troubleshoot and optimize production AI agent performance using CloudWatch and observability tools
- Implement secure authentication logging and monitoring for agent systems to ensure compliance and visibility
- Collaborate with cross-functional teams to integrate AI agents into broader application architectures
Requirements
- 6 10 years of experience in DevOps cloud engineering or AI/ML infrastructure
- Proficiency in Python and/or TypeScript for agent development and automation
- Strong hands-on experience with AWS services including Bedrock ECR IAM CloudWatch and VPC configuration
- Demonstrated expertise with CI/CD tools particularly GitHub Actions and infrastructure-as-code (Terraform or AWS CDK)
- Solid understanding of containerization Docker and container orchestration
- Experience with AI/ML concepts including prompt engineering tool calling model calling patterns and agent frameworks
- Knowledge of security best practices authentication mechanisms and cloud infrastructure hardening
- Excellent troubleshooting and problem-solving skills with a focus on production reliability and monitoring