AI Engineer (m/w/d)
Tasks
- Automate build deploy and rollout with GitOps
- Build data pipelines with GDPR compliant synthetic data
- Conduct code and model reviews
- Deploy and scale LLM inference infrastructure
- Develop LLM applications for clinical use cases
- Develop internal AI platform services
- Implement GraphRAG architectures
- Integrate security and compliance requirements
- Optimize latency GPU utilization and accuracy
- Perform pair programming and architecture decisions
- Process PII in data pipelines
- Set up evaluation and monitoring pipelines
Perks/Benefits
Skills/Tech-stack
ArgoCD | Automated testing | Clean Code | Code review | DPO | GDPR | GPU Operator | GPU serving | GRPO | GitOps | GraphRAG | Helm | Hybrid search | Immutable OS | Kanban | Knowledge graphs | Kubernetes | Kustomize | LLM Inference | LoRA | Long Context | Multi GPU serving | Multi-GPU | NIS2 | On-Premises | On-premises Kubernetes | Patroni | PostgreSQL | Prefix caching | Prompt engineering | PyTorch | Python | Qdrant | Quantization | RAG | Rust | SBOM | SFT | Scrum | StackGres | Svelte | TDD | Transformers | TypeScript | VLLM
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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