GenAI DevOps Engineer /AI Engineer - Remote/Hybrid with Travel
Simple Solutions
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.
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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
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Design, develop, and implement AI agents using the Claude Agent SDK (formerly Claude Code SDK).
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Build agent workflows using Python or TypeScript, including tool calling, MCP integrations, and API orchestration.
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Deploy and manage AI agents on Amazon Bedrock AgentCore Runtime.
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Develop automated CI/CD pipelines using GitHub Actions for agent builds, testing, and deployments.
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Configure AWS IAM, ECR, Docker/container packaging where applicable, and cloud security.
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Monitor, troubleshoot, and optimize production AI agent performance.
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Implement secure authentication, logging, monitoring, and observability.
Skills to look for
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Skill
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Priority
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What to verify
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Claude Agent SDK
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Must-have
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Hands-on agent development, not just Claude prompting
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Amazon Bedrock AgentCore Runtime
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Must-have
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Actual agent deployment and runtime configuration
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GitHub Actions
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Must-have
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Building CI/CD pipelines independently
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Python or TypeScript
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Must-have
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Strong coding and API integration
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AWS Bedrock
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Must-have
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Model integration and AWS ecosystem knowledge
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Docker, AWS ECR, IAM
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Strongly preferred
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Packaging, deployment, permissions
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MCP and tool calling
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Strongly preferred
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Building agents that execute external tools
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Terraform / AWS CDK
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Good-to-have
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Infrastructure as Code
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CloudWatch, security, monitoring
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Good-to-have
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Production support
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