
GenAI DevOps Engineer /AI Engineer - Remote/Hybrid with Travel
Simplesolutions · Jacksonville, FL, United States
Mixed hiring record · median 41 days open
All reasons
- 47% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
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
Skills
- Generative AI
- AWS
- GitHub Actions
- Anthropic Claude
- Claude Code
- Python
- TypeScript
- Model Context Protocol
- Bedrock
- IAM
- AWS ECR
- Docker
- Terraform
- AWS CDK
- AWS CloudWatch
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