AI Engineer (m/w/d)
Tasks
- Apply GuardRails for safety
- Architect LLM systems
- Define best practices for GenAI prompting and RAG
- Deploy and operate LLM applications
- Design GenAI solutions
- Develop genai applications
- Ensure security compliance stability and performance
- Evaluate LLM performance
- Implement LLMOps pipelines
- Implement RAG patterns
- Integrate external APIs and services
- Integrate solutions into platforms and processes
- Manage versioning and experiment tracking
- Optimize cost and latency
- Orchestrate LLM tool calling
- Run A/B testing
- Set CI CD automation
- Set up observability and monitoring
Perks/Benefits
- Additional health insurance
- Business bike
- Company pension
- Family service support
- Hybrid work
- Stock program
- Training opportunities
Skills/Tech-stack
A/B | A/B Testing | AKS | APIs | Agentic AI | Async Programming | Azure Functions | Azure Key Vault | Azure OpenAI | B testing | CI/CD | Caching | Docker | Embeddings | Fine Tuning | Guardrails | Key Vault | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Metrics | Monitoring | Observability | Offline testing | Online Testing | Prompt engineering | Python | RAG | Tool-Calling | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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