GenAI DevOps Engineer AI Engineer RemoteHybrid with Travel
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Experience Required:
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Job Summary
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 youve 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 |
Required Skills:
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 youve 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
Required Education:
Masters Preferred
