GenAI DevOps Engineer /AI Engineer

MatchPoint; Los Angeles (CA); On-site; USD 110,000 - 124,000; Full time

Job summary

MatchPoint is seeking a GenAI DevOps Engineer / AI Engineer in Los Angeles to design, build, and deploy AI agents on AWS Bedrock. The role blends AI agent development (60%) with DevOps/CI/CD engineering (40%), and requires hands-on GenAI experience and production deployment skills.

Candidates should have 6–10 years of overall experience, proficiency with Claude SDK / AWS AgentCore, GitHub Actions, Docker, ECR, IAM, Terraform or CDK, and strong coding abilities in Python or TypeScript.

Qualifications

• 6–10 years of experience in GenAI or agent development.
• Experience deploying AI agents to production on AWS.

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

AI agent development

Python

TypeScript

Cloud security

Monitoring & observability

Tools

GitHub Actions

Docker

AWS Bedrock

Amazon Bedrock AgentCore Runtime

Terraform

AWS CDK

ECR

IAM

CloudWatch

Job description

Employment Type: - Contract

Pay Range:80-90/hr c2c

• 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

Must-have

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

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

MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.