GenAI DevOps Engineer /AI Engineer

Match Point Solutions • Los Angeles, CA

1d • Hybrid

About The Position

MatchPoint Solutions is hiring a GenAI DevOps Engineer / AI Engineer to build AI agents and deploy them into production on AWS. The role combines AI agent development (60%) with DevOps and CI/CD engineering (40%). The position is based in Los Angeles, California, with a hybrid work arrangement, and is listed as a contract role with a pay range of $80–$90 per hour on a C2C basis.

The engineer will develop agents using the Claude Agent SDK and Python or TypeScript, deploy and manage them on Amazon Bedrock AgentCore Runtime, and build CI/CD pipelines with GitHub Actions. The work also includes AWS configuration and cloud security, production monitoring and troubleshooting, and implementing authentication, logging, monitoring, and observability.

Requirements

• 6–10 years of overall experience, including hands-on GenAI or agentic AI development.
• Hands-on AI agent development with the Claude Agent SDK; Claude prompting alone is not sufficient.
• Experience deploying agents and configuring runtime on Amazon Bedrock AgentCore Runtime.
• Ability to independently build CI/CD pipelines using GitHub Actions.
• Strong Python or TypeScript coding skills and API integration experience.
• AWS Bedrock model integration and knowledge of the AWS ecosystem.

Nice To Haves

• Experience with Docker, AWS ECR, and IAM for packaging, deployment, and permissions.
• Experience with MCP and tool calling to build agents that execute external tools.
• Experience with Terraform or AWS CDK for infrastructure as code.
• Experience with CloudWatch, security, monitoring, and production support.

Responsibilities

• Design, develop, and implement AI agents using the Claude Agent SDK.
• Build agent workflows in Python or TypeScript, including tool calling, MCP integrations, and API orchestration.
• Deploy and manage AI agents on Amazon Bedrock AgentCore Runtime.
• Develop automated GitHub Actions CI/CD pipelines 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.

What This Job Offers

• Education Level: No Education Listed