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Genai Devops Engineer Ai Engineer

  • Genai Devops Engineer Ai Engineer job type Posted on: Oct 22, 2026
  • Genai Devops Engineer Ai Engineer experience level Nexiva 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 CTC

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Job Title :

Genai Devops Engineer Ai Engineer

Job Type :

Contract

Job Location :

Los Angeles California United States

Remote :

No

Jobcon Logo Job Description :

Role: GenAI DevOps Engineer /AI Engineer
Location is Los Angeles, California.
Only US Citizens accepted
Need local to CA
Experience: 6 8+ Years
  1. GenAI DevOps Engineer /AI Engineer who has experience building AI agents and deploying them into production on AWS.
The role combines AI agent development (60%) and DevOps/CI/CD engineering (40%). This is a suggested split based on the responsibilities you've described.
Job Description AI Agent Engineer (Claude SDK / AWS AgentCore / GitHub Actions)
Experience: 6 10 years overall, including hands-on GenAI or agentic AI development.
Key responsibilities
  • Design, develop, and implement AI agents using the Claude Agent SDK (formerly Claude Code SDK).
  • Build agent workflows using Python or TypeScript, including tool calling, MCP integrations, and API orchestration.
  • Deploy and manage AI agents on Amazon Bedrock AgentCore Runtime.
  • Develop automated CI/CD pipelines using GitHub Actions for agent builds, testing, and deployments.
  • Configure AWS IAM, ECR, Docker/container packaging where applicable, and cloud security.
  • Monitor, troubleshoot, and optimize production AI agent performance.
  • Implement secure authentication, logging, monitoring, and observability.
Skills to look for
Skill
Priority
What to verify
Claude Agent SDK
Must-have
Hands-on agent development, not just Claude prompting
Amazon Bedrock AgentCore Runtime
Must-have
Actual agent deployment and runtime configuration
GitHub Actions
Must-have
Building CI/CD pipelines independently
Python or TypeScript
Must-have
Strong coding and API integration
AWS Bedrock
Must-have
Model integration and AWS ecosystem knowledge
Docker, AWS ECR, IAM
Strongly preferred
Packaging, deployment, permissions
MCP and tool calling
Strongly preferred
Building agents that execute external tools
Terraform / AWS CDK
Good-to-have
Infrastructure as Code
CloudWatch, security, monitoring
Good-to-have
Production support

Jobcon Logo Position Details

Posted:

Oct 22, 2026

Reference Number:

1561-46931

Employment:

CTC

City:

Los Angeles

Job Origin:

CIEPAL_ORGANIC_FEED

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Role: GenAI DevOps Engineer /AI Engineer
Location is Los Angeles, California.
Only US Citizens accepted
Need local to CA
Experience: 6 8+ Years
  1. GenAI DevOps Engineer /AI Engineer who has experience building AI agents and deploying them into production on AWS.
The role combines AI agent development (60%) and DevOps/CI/CD engineering (40%). This is a suggested split based on the responsibilities you've described.
Job Description AI Agent Engineer (Claude SDK / AWS AgentCore / GitHub Actions)
Experience: 6 10 years overall, including hands-on GenAI or agentic AI development.
Key responsibilities
  • Design, develop, and implement AI agents using the Claude Agent SDK (formerly Claude Code SDK).
  • Build agent workflows using Python or TypeScript, including tool calling, MCP integrations, and API orchestration.
  • Deploy and manage AI agents on Amazon Bedrock AgentCore Runtime.
  • Develop automated CI/CD pipelines using GitHub Actions for agent builds, testing, and deployments.
  • Configure AWS IAM, ECR, Docker/container packaging where applicable, and cloud security.
  • Monitor, troubleshoot, and optimize production AI agent performance.
  • Implement secure authentication, logging, monitoring, and observability.
Skills to look for
Skill
Priority
What to verify
Claude Agent SDK
Must-have
Hands-on agent development, not just Claude prompting
Amazon Bedrock AgentCore Runtime
Must-have
Actual agent deployment and runtime configuration
GitHub Actions
Must-have
Building CI/CD pipelines independently
Python or TypeScript
Must-have
Strong coding and API integration
AWS Bedrock
Must-have
Model integration and AWS ecosystem knowledge
Docker, AWS ECR, IAM
Strongly preferred
Packaging, deployment, permissions
MCP and tool calling
Strongly preferred
Building agents that execute external tools
Terraform / AWS CDK
Good-to-have
Infrastructure as Code
CloudWatch, security, monitoring
Good-to-have
Production support

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