Sr AI Engineer I
Tasks
- Apply LLMs embeddings and vector databases for incident management
- Build and iterate generative AI applications
- Deploy monitor and improve AI powered systems
- Develop data pipelines for logs metrics and operational data
- Prototype and transition solutions to production
- Scale and design AI systems for production environments
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Cause analysis | Data Governance | Data Pipelines | Docker | Embeddings | Generative AI | Go | Hugging Face | Incident Management | Kubernetes | Langchain | Language Models | Large Language Models | Microservices | Observability | Python | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | Vector Databases
Education
N/A
Roles
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