GenAI DevOps Engineer /AI Engineer

Role: GenAI DevOps Engineer /AI Engineer Location is Los Angeles, California. Only US Citizens accepted Need local to CA Experience: 6 8+ Years • GenAI DevOps Engineer /AI Engineer who has experience 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: 6 10 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