GenAI DevOps Engineer /AI Engineer - Remote/Hybrid with Travel
- Compensation
- Not disclosed
- Location
- Jacksonville, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- Hands-on agent development, not just Claude prompting
- Amazon Bedrock AgentCore Runtime
- Actual agent deployment and runtime configuration
- GitHub Actions
- Building CI/CD pipelines independently
- Python or TypeScript
- Strong coding and API integration
- AWS Bedrock
- 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
Nice to have
- Infrastructure as Code
- CloudWatch, security, monitoring
Full description
Senior GenAI DevOps Engineer /AI Engineer - Remote/Hybrid with Travel
The key is time zone coverage and so we can expand our search across the West Coast - remote/hybrid but necessarily located in the western time zones. You must be comfortable to travel to the client site for workshops/meetings.
- Senior GenAI DevOps Engineer /AI Engineer who has 10-15+ years overall experience and 6-8 years 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: 10-15+ 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 forSkillPriorityWhat 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