Senior AI Engineer
Tasks
- Build and optimize RAG systems
- Collaborate to accelerate AI adoption and productization
- Create and implement evaluation frameworks and AI guardrails
- Design build and maintain reusable AI capabilities
- Develop and maintain internal MCP server
- Own projects end to end from requirements to deployment and operations
- Serve as AI engineering consultant and advocate
Perks/Benefits
- Commuter benefits
- Equity
- Extra Time Off for Parents and Caregivers
- Lunch stipend
- Parking benefits
- Private medical insurance
- Professional development courses
- Team events
- Udemy access
Skills/Tech-stack
AWS | Azure | Cloud platform | DevOps | Docker | Google Cloud | Google Cloud Platform | Kubernetes | MCP | Python | RAG | Retrieval-Augmented Generation
Education
N/A
Roles
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