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Genai Devops Engineer Ai Engineer

  • Genai Devops Engineer Ai Engineer job type Posted on: Oct 19, 2026
  • Genai Devops Engineer Ai Engineer experience level Connvertex Technologies Inc
  • Genai Devops Engineer Ai Engineer employment type Los Angeles, California
  • Genai Devops Engineer Ai Engineer employment type Onsite
  • Genai Devops Engineer Ai Engineer salary Full-time

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Job Title :

Genai Devops Engineer Ai Engineer

Job Type :

Full-Time

Job Location :

Los Angeles California United States

Remote :

No

Jobcon Logo 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

Jobcon Logo Position Details

Posted:

Oct 19, 2026

Reference Number:

47452-284

Employment:

Full-time

City:

Los Angeles

Job Origin:

CIEPAL_ORGANIC_FEED

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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

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