GenAI DevOps Engineer / AI Engineer

Nexiva • Los Angeles, CA

1d • Hybrid

About The Position

The GenAI DevOps Engineer / AI Engineer will design, develop, and deploy intelligent AI agents using the Claude Agent SDK and Amazon Bedrock. The role focuses on building production-grade agent workflows and implementing CI/CD automation in a cloud-native environment. The position is based in Los Angeles, California, with a hybrid arrangement requiring two days onsite. It is a 6+ month contract-to-hire role.

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.
• Expertise with CI/CD tools, particularly GitHub Actions, and infrastructure-as-code tools such as 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.

Responsibilities

• 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 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed