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

Simple Solutions

Location
Hybrid (Jacksonville, Florida)
Compensation
$70 - $85/hr
Employment
Contract
Level
Senior Level
Posted 3 days ago

About the role

Simple Solutions is seeking a Senior GenAI DevOps Engineer to design and deploy AI agents on AWS using the Claude Agent SDK and Amazon Bedrock. The role combines AI agent development with DevOps engineering to build secure, automated CI/CD pipelines and ensure production performance.

Skills

Claude Agent SDK Amazon Bedrock AgentCore Runtime GitHub Actions Python TypeScript AWS Bedrock Docker AWS ECR IAM MCP Tool calling Terraform AWS CDK CloudWatch CI/CD API orchestration

Perks

  • Hybrid Work

Full job details

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