> Markdown version of [/jobs/ext/4008605-genai-devops-engineer-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4008605-genai-devops-engineer-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# GenAI DevOps Engineer /AI Engineer

- **Company:** EXPERT RECRUITING SOLUTIONS, LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Authentication Protocols, Cloud Computing, Cloud Computing Security, Cloud Engineering, Continuous Delivery, Continuous Integration, DevOps, Github, Identity and Access Management, Python (Programming Language), Machine Learning, TypeScript, AWS Cdk, Data Logging, Grafana, Prompt Engineering, AgentCore, Amazon Virtual Private Cloud (VPC), Agentic-AI, Containerization, Kubernetes, Amazon Bedrock, Machine Learning Operations, Claude, Virtual Agents, Cloudwatch, Terraform, Agent SDK, Docker
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/02d38619-493c-467a-af97-e951939351f7/genai-devops-engineer-ai-engineer

## About the Role

* 6 10 years of experience in DevOps, cloud engineering, or AI/ML infrastructure
 * Proficiency in Python and/or TypeScript for agent development and automation
 * Strong hands-on experience with AWS services including Bedrock, ECR, IAM, CloudWatch, and VPC configuration
 * Demonstrated expertise with CI/CD tools, particularly GitHub Actions, and infrastructure-as-code (Terraform or AWS CDK)
 * Solid understanding of containerization, Docker, and container orchestration
 * Experience with AI/ML concepts including prompt engineering, tool calling, model calling patterns, and agent frameworks
 * Knowledge of security best practices, authentication mechanisms, and cloud infrastructure hardening
 * Excellent troubleshooting and problem-solving skills with a focus on production reliability and monitoring

## Description

Job Description Our client is seeking a GenAI DevOps Engineer / AI Engineer to design, develop, and deploy intelligent AI agents using Claude Agent SDK and Amazon Bedrock, building production-grade agent workflows and implementing CI/CD automation in a cloud-native environment., * Design, develop, and implement AI agents using the Claude Agent SDK and Amazon Bedrock AgentCore Runtime

 * Build agent workflows in Python or TypeScript, including tool calling, MCP integrations, and API orchestration
 * Develop and maintain automated CI/CD pipelines using GitHub Actions for agent builds, testing, and deployments
 * Configure and manage AWS infrastructure including IAM policies, ECR registries, Docker containerization, and cloud security best practices
 * Monitor, troubleshoot, and optimize production AI agent performance using CloudWatch and observability tools
 * Implement secure authentication, logging, and monitoring for agent systems to ensure compliance and visibility
 * Collaborate with cross-functional teams to integrate AI agents into broader application architectures