AI Engineer - Data Intelligence - AI Platform
Tasks
- Build AI platform services
- Build and optimize RAG systems
- Develop embedding storage systems
- Develop inference pipelines
- Enhance observability
- Ensure data compliance
- Ensure system reliability
- Evaluate new AI capabilities
- Execute LLMOps practices
- Implement AI guardrails
- Implement retrieval systems
- Implement scalable vector search
- Implement security controls
- Monitor AI costs
- Productionize machine learning models
Perks/Benefits
- Coaching Budgets
- Employee share options
- Extended year-end breaks
- Medical insurance
- Mental wellbeing support
- Parental leave
- Social impact days
- Wellbeing pauses
- Work from home office budget
Skills/Tech-stack
AWS | Batch Processing | Data Governance | Data Lakes | Data Processing | Embeddings | LLM | LLMOps | Machine Learning | Model Serving | Monitoring | Observability | Python | RAG | Retrieval-Augmented Generation | Security controls | Streaming Data | Streaming data processing | Vector Database | Vector Search
Education
N/A
Roles
AI | AI Engineer | Engineer
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