GenAI DevOps Engineer​/AI Engineer

Location is Los Angeles, California.

Only US Citizens accepted

Need local to CA

Experience:

6–8+ Years

GenAI Dev Ops Engineer /AI Engineer who has experience building AI agents and deploying them into production on AWS.

The role combines AI agent development (60%) and Dev Ops/CI/CD engineering (40%). This is a suggested split based on the responsibilities you've described.

Experience:

6–10 years overall, including hands‑on GenAI or agentic AI development.

• Design, develop, and implement AI agents using the Claude Agent SDK (formerly Claude Code SDK).
• Build agent workflows using Python or Type Script, including tool calling, MCP integrations, and API orchestration.
• Deploy and manage AI agents on Amazon Bedrock Agent Core Runtime.
• Develop automated CI/CD pipelines using Git Hub 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.

• Claude Agent SDK – Must-have – Hands‑on agent development, not just Claude prompting
• Amazon Bedrock Agent Core Runtime – Must-have – Actual agent deployment and runtime configuration
• Git Hub Actions – Must-have – Building CI/CD pipelines independently
• Python or Type Script – 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
• Cloud Watch, security, monitoring – Good-to-have – Production support