GenAI DevOps Engineer /AI Engineer

Expert In Recruitment Solutions
  • LA, CA
  • Instant Apply
Today

Job 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

Numbers & Facts

LocationLA, CA

Skills

  • Amazon Web Services (AWS)unmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • Artificial Intelligence (AI) Agentsunmatched
  • Authenticationunmatched
  • Automationunmatched
  • Best Practicesunmatched
  • Cloud Computingunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Cross-Functionalunmatched
  • DevOpsunmatched
  • Dockerunmatched
  • GitHubunmatched
  • Identify Issuesunmatched
  • MCP - Microsoft Certified Professionalunmatched
  • Maintain Complianceunmatched
  • Problem Solving Skillsunmatched
  • Production Controlunmatched
  • Python Programming/Scripting Languageunmatched
  • Software Agentsunmatched
  • Software Engineeringunmatched
  • Testingunmatched

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