Senior AI Engineer
Tasks
- Build CI/CD pipelines
- Build unit and integration tests
- Design AI content generation workflows
- Detect evaluation regression
- Develop agentic LLM workflows
- Implement LLM observability and evaluation
- Integrate Azure and AWS resources
- Operationalize AI models
- Package deploy and scale applications
- Run LLM evaluation benchmarks
Perks/Benefits
- Coaching and Mentorship
- Complimentary meals
- Dental care
- Flexible individual career plan
- Food vouchers
- Health insurance
- Multisport card
- Paid leave
- Parking
- Refer a Friend rewards
- Social events
- Team building
- Training and courses
- Transport allowance
- Wellbeing and mental health platform
- Work Abroad Policy
Skills/Tech-stack
AWS | Azure Blob | Azure Blob Storage | Azure Container | Azure Container Apps | Azure Key Vault | Azure OpenAI | Azure Service | Azure Service Bus | Blob Storage | CI/CD | Container Apps | CrewAI | Docker | FastAPI | Google Vertex | Google Vertex AI | Hugging Face | Hugging Face Transformers | Key Vault | Kubernetes | LLM | Langchain | Langfuse | Langgraph | Langsmith | Model Evaluation | New Relic | OpenLit | Prompt engineering | PyTorch | Python | Scikit-learn | Service Bus | Spacy | Vertex AI
Education
N/A
Roles
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