Senior GenAI DevOps Engineer /AI Engineer - Remote/Hybrid with Travel

The key is time zone coverage and so we can expand our search across the West Coast - remote/hybrid but necessarily located in the western time zones. You must be comfortable to travel to the client site for workshops/meetings.

1. Senior GenAI DevOps Engineer /AI Engineer  who has 10-15+ years overall experience and 6-8 years 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: 10-15+ 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