Senior AI Engineer (Python)
Tasks
- Build LLM observability and monitoring
- Create unit and integration tests
- Deploy applications to Kubernetes
- Design AI content generation workflows
- Develop CI/CD pipelines
- Develop agentic workflow systems in production
- Implement LLM evaluation and regression detection
- Integrate AI services with Azure and AWS
- Operationalize AI models
- Orchestrate LLM workflows
- Package deploy and scale applications with Docker
Perks/Benefits
- Coaching
- Complimentary meals
- Courses and certifications
- Dental care
- Food vouchers
- Health insurance
- Mentorship
- Multisport card
- Paid leave
- Parking provided
- Referral bonus
- Social events
- Team-building activities
- Transport allowance
- Wellbeing 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 | Go | Google Vertex | Google Vertex AI | Hugging Face | Hugging Face Transformers | Integration Testing | Key Vault | Kubernetes | LLM Evaluation | LLM Observability | Langchain | Langfuse | Langgraph | MLflow | Model Monitoring | New Relic | OpenLit | Prompt engineering | PyTorch | Python | Scikit-learn | Service Bus | Shift Left | Shift Left Testing | Spacy | Unit Testing | Vertex AI
Education
N/A
Roles
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