GenAI DevOps Engineer /AI Engineer - Remote/Hybrid with Travel
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- United States
- Work type
- Hybrid
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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 |
