Senior AI Engineer
Tasks
- Build and maintain API driven self service capabilities
- Create actionable runbooks for incidents and rollbacks
- Create reusable CI CD templates and promotion gates
- Define and operationalize SLIs and SLOs
- Deliver developer enablement documentation and onboarding playbooks
- Design and deliver golden paths for common workflows
- Enable telemetry metrics logs and traces
- Establish standardized rollout and rollback practices
- Implement secure by default platform guardrails
- Partner with SRE to support reliability and change management
- Provide standardized environment templates with tenant isolation
Perks/Benefits
- Bereavement leave
- Defined contribution retirement plan
- Dental insurance
- Dependent care reimbursement account
- Disability insurance
- Employee assistance program
- Health reimbursement account
- Medical insurance
- Paid parental leave
- Paid time off
- Sick leave
- Vacation
- Vision insurance
Skills/Tech-stack
ABAC | API | API Gateway | Alerting | Audit Logging | CI/CD | Deployment Automation | Docker | Infrastructure as Code | Kubernetes | LLM | Language Processing | Logging | MLOps | Machine Learning | Metrics | Monitoring | Natural Language | Natural Language Processing | OAuth 2.0 | OIDC | Observability | OpenID Connect | Python | RBAC | REST | Release Engineering | RunBook | SLI | SLO | SSO | Secrets management | Terraform | Tracing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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