Head of AI Engineering (f/m/x)
Tasks
- Build RAG pipelines
- Define AI ML roadmap with measurable outcomes
- Establish LLMOps and MLOps
- Hire mentor and develop team
- Implement data privacy security and compliance
- Implement observability for AI pipelines
- Lead AI engineering org build
- Lead model prompt lifecycle
- Manage RBAC secrets and auditability
- Manage roadmap and capacity planning
- Optimize inference throughput and cost
- Organize sub teams with ownership
- Own LLM gateway architecture
- Run CI CD for model deployment
- Set incident response and runbooks
- Set technical bar and code review practices
Perks/Benefits
- 30 vacation days
- Flexible working hours
- Hybrid work
- Jobrad bicycle leasing
- Jobticket subsidy
- Special time off Christmas Eve
- Special time off New Years Eve
- Urban Sports EGYM subsidy
- Workation
Skills/Tech-stack
A/B | A/B Testing | API Design | AWS Bedrock | Autoscaling | B testing | Batching | CI/CD | Caching | Canary testing | Distributed Systems | Event Driven | Event-driven architecture | Experiment tracking | Faiss | Grafana | Java | Kubernetes | LLM | LLMOps | MLOps | Message Streaming | Microservices | Model Registry | NestJS | Node.js | Observability | OpenTelemetry | Pinecone | Prometheus | PyTorch | Python | Qdrant | Quantization | RAG | RBAC | Secrets management | Terraform | Vector Databases
Education
N/A
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Head | Head of AI | Head of AI Engineering | Manager
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