Senior AI Engineer
Tasks
- Build CI/CD pipelines
- Build LLM driven conversation engine services
- Build speech assessment engine services
- Design AI content generation workflows
- Implement LLM evaluation and regression detection
- Integrate LLM observability and monitoring
- Manage cloud resources across Azure and AWS
- Operationalize AI models for production
- Orchestrate LLM workflows
- Package deploy and scale applications
- Write unit and integration tests
Perks/Benefits
- Certifications and courses
- Coaching and Mentorship
- Dental care
- Food vouchers
- Health insurance
- Multisport card
- Paid leave
- Transport allowance
- Work Abroad Policy
Skills/Tech-stack
Amazon Web Services | Azure Blob | Azure Blob Storage | Azure Container | Azure Container Apps | Azure Key Vault | Azure OpenAI | Azure Service | Azure Service Bus | Best practices | Blob Storage | CI/CD | Container Apps | CrewAI | Docker | FastAPI | Go | Google Vertex | Google Vertex AI | Hugging Face | Hugging Face Transformers | Key Vault | Kubernetes | LLM orchestration | Langchain | Langfuse | Langgraph | Model Evaluation | New Relic | OpenLit | Prompt engineering | PyTorch | Python | SDLC Best Practices | Scikit-learn | Service Bus | Spacy | Vertex AI | Web Services
Education
N/A
Roles
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