AI Platform Engineer, Applied AI
Tasks
- Analyze user interactions
- Build observability dashboards
- Design evaluation frameworks
- Experiment with AI models and architectures
- Implement RAG chunking retrieval and reranking
- Investigate AI pipeline performance issues
- Monitor AI system quality
- Optimize retrieval-augmented generation pipelines
- Stay current with AI tools and best practices
- Validate improvements with engineering teams
Perks/Benefits
- Biannual company retreats
- Equity participation
- Fully remote
- Health insurance
- Home office setup allowance
- Learning and development stipend
- Paid time off
- Parental leave
- Performance bonus
- Sabbatical opportunities
Skills/Tech-stack
A/B | A/B Testing | Accuracy Metrics | B testing | Context Management | Data Analysis | Embeddings | Information Retrieval | Language Models | Large Language Models | Latency monitoring | Machine Learning | Observability | Prompt engineering | Python | RAG | Ranking | Retrieval-Augmented Generation
Education
N/A
Roles
AI | AI Engineer | AI Platform Engineer | Applied AI Engineer | Engineer | Platform Engineer
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