Sign upLog in
See more jobs

GenAI DevOps Engineer /AI Engineer

Expert In Recruitment Solutions

  • LA, CA
  • 15 days ago

    Highlights

    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.

    Numbers & Facts

    LocationLA, CA

    Description

    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

    Similar Jobs