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

Job Description

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.

• 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

• I'm interested

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