Software Engineer (AI Infrastructure)
Tasks
- Apply security best practices for AI systems and data
- Automate infrastructure provisioning and configuration with infrastructure as code
- Define solutions for ambiguous system requirements
- Design infrastructure for AI model inference at scale
- Develop and maintain production AI services and applications
- Drive adoption of new technologies and engineering practices
- Ensure AI platform availability reliability scalability and performance
- Implement monitoring logging and observability for AI services
- Implement retrieval augmented generation and autonomous agents
- Provide technical guidance and mentorship
Perks/Benefits
- Employee-owned company
- Flexible work hours
- Job security
- Long-term disability
- Medical, dental, and vision benefits
- Paid Holidays
- Paid time off
- Parental leave
- Retirement Contribution
- Short-term disability
- Term life insurance
Skills/Tech-stack
AWS | Autonomous Agents | CI/CD | Grafana | Infrastructure as Code | Kubernetes | Logging | Monitoring | Observability | OpenTelemetry | Prometheus | Python | Retrieval-Augmented Generation | Systems Integration | “as-code”
Education
Roles
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