N
GenAI DevOps Engineer /AI Engineer
Nexiva
6 hours ago
Full-time
On-site
Los Angeles, California, United States
Role:
GenAI DevOps Engineer /AI Engineer Location is Los Angeles, California.
Only US Citizens accepted
Need local to CA
Experience: 6–8+ Years
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
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
#J-18808-Ljbffr
GenAI DevOps Engineer /AI Engineer Location is Los Angeles, California.
Only US Citizens accepted
Need local to CA
Experience: 6–8+ Years
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
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
#J-18808-Ljbffr