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AI Agent Engineer (Claude SDK / AWS AgentCore / GitHub Actions)

Simple SolutionsUnited States🇺🇸United StatesPosted Oct 22, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
DockerGitAWSCDKGitHub ActionsPythonTerraformGenerative AITypeScriptCI/CDIAM

Job Description

Position: Senior GenAI DevOps Engineer /AI Engineer
Location: Remote with travel
Employment type: Contract position
Notes:
  • 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 traveling to the client site for workshops/meetings.
  • Senior GenAI DevOps Engineer /AI Engineer who has 10-15+ years of 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.

Skill

Priority

description

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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