Senior AI Engineer
Tasks
- Build AI platform services
- Build shared APIs and tooling
- Create reusable AI building blocks
- Deploy LLM and speech capabilities to production
- Design evaluation and observability frameworks
- Develop safe execution guardrails
- Enable traceability and audit trails
- Implement human-in-the-loop checkpoints
- Monitor AI behavior in production
- Operate production AI capabilities
Perks/Benefits
- Conference access
- Employee shares
- Flexible location
- Flexible working hours
- Learning budget
- Vacation (6 weeks)
- Work from home
- Workation
Skills/Tech-stack
.NET | AI Foundry | AI Services | ArgoCD | Azure AI | Azure AI Foundry | Azure AI Services | Azure Event | Azure Event Hub | Azure Storage | CI/CD | Csharp | Evaluation Frameworks | Event Hub | GitHub Actions | Grafana | Kafka | LLM | Loki | Microsoft Azure | Mimir | Observability | PostgreSQL | Python | Speech-to-Text | Tempo | Terraform
Education
N/A
Roles
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