AI Ops Engineer
Colorado, United States
USD 122K-191K (estimate) Entry-level Full Time
Tasks
- Build and maintain infrastructure as code
- Build cloud native AI services
- Conduct technical design discussions
- Contribute to engineering best practices
- Deploy AI workloads to Google Cloud Platform
- Design AI applications and intelligent agents
- Develop AI applications and intelligent agents
- Improve reliability and scalability
- Integrate AI capabilities into enterprise applications
- Manage AI workloads
- Monitor AI workloads
- Optimize AI workloads
- Optimize application performance
- Participate in agile ceremonies
- Perform code reviews
- Translate business requirements into AI solutions
- Troubleshoot production issues
Perks/Benefits
- Career coaching
- Employee assistance programme
- Flexible working hours
- Global career opportunities
- Hybrid work
- Internal tech communities
- Training and workshops
- Wellbeing apps
Skills/Tech-stack
Agent Development Kit | Agile | CI/CD | Cloud platform | Docker | Google Agent Development Kit | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Python | REST API | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Engineering in Software Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Technology
Roles
AI | AI Operations Engineer | Engineer | Operations Engineer | Software Engineer
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