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# AI Engineer

- **Company:** Galaxy i Technologies, Inc
- **Location:** Phoenix, AZ, United States
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Build Automation, Automation of Tests, Unit Testing, Microsoft Azure, Bash Shell, Command-Line Interface, Configuration Management, Continuous Integration, Linux, Elasticsearch, Github, Python (Programming Language), Key Management, Log Analysis, Object-Oriented Software Development, Performance Tuning, Ansible, Prometheus, Data Logging, Data Processing, Google Cloud, Grafana, Git, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Kibana, Restful APIs, Terraform, Splunk, Docker, Vulnerability Analysis
- **Published:** October 31, 2026
- **Apply:** https://www.dice.com/job-detail/5573c959-2d95-4795-b619-3ade0d80adf2

## About the Role

* Strong hands-on Python experience building reliable, maintainable production applications, REST APIs, automation scripts, and data-processing workflows, with proficiency in object-oriented programming, exception handling, unit testing, and performance optimization.
 * Hands-on experience with at least one major cloud platform-AWS, Azure, or Google Cloud-and with Docker and Kubernetes, including deploying, troubleshooting, and securing applications and AI/ML workloads.
 * Experience designing and operating containerized platform services on Linux, including Kubernetes deployments, configuration management, and troubleshooting across environments, with strong skills in Bash scripting, command-line tools, process and service management, networking, and log analysis.
 * Experience building and maintaining secure APIs and identity-related services, including authentication, authorization, secrets management, and service-to-service integrations.
 * Strong experience with Git, CI/CD tools such as GitHub Actions, and infrastructure automation using Terraform or Ansible, including automated builds, testing, security scanning, controlled deployments, and rollback procedures.
 * Hands-on experience with monitoring, logging, and observability tools such as Splunk, Elasticsearch, Kibana, Prometheus, and Grafana to query logs, collect metrics, build dashboards, configure alerts, and monitor application and platform health.