GenAI DevOps Engineer /AI Engineer - Remote/Hybrid with Travel
Simple Solutions•Jacksonville, FL
•$70 - $85
About The Position
The Senior GenAI DevOps Engineer / AI Engineer builds and deploys AI agents into production on AWS. The role combines AI agent development (suggested allocation: 60%) with DevOps and CI/CD engineering (suggested allocation: 40%). The posting seeks 10–15+ years of overall experience, including 6–8 years building AI agents and deploying them into production on AWS. The role is remote or hybrid for candidates located in western time zones, with travel to client sites for workshops and meetings.
Requirements
- 10–15+ years of overall experience, including hands-on GenAI or agentic AI development.
- 6–8 years building AI agents and deploying them into production on AWS.
- Hands-on AI agent development using the Claude Agent SDK, not just Claude prompting.
- Experience deploying agents and configuring runtimes with Amazon Bedrock AgentCore Runtime.
- Ability to build CI/CD pipelines independently using GitHub Actions.
- Strong coding and API integration skills in Python or TypeScript.
- AWS Bedrock model integration and AWS ecosystem knowledge.
- Located in a western time zone.
- Comfortable traveling to client sites for workshops and meetings.
Nice To Haves
- Experience with Docker, AWS ECR, and IAM for packaging, deployment, and permissions.
- Experience with MCP integrations 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 (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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
