AI Platform Engineer, Applied AI
Tasks
- Analyze user interactions with AI features
- Build observability dashboards
- Collaborate with engineering teams to validate improvements
- Design evaluation frameworks for AI performance
- Experiment with models architectures and agent configurations
- Implement chunking retrieval and re ranking strategies
- Investigate AI pipeline performance issues
- Monitor latency accuracy and quality in production
- Prototype retrieval-augmented generation pipelines
- Stay current with AI tools frameworks and best practices
Perks/Benefits
- Company retreats
- Equity participation
- Fully remote
- Healthcare coverage
- Home office setup allowance
- Learning and development stipend
- Paid time off
- Parental leave
- Performance based bonus opportunities
- Sabbatical opportunities
Skills/Tech-stack
A/B | A/B Testing | Accuracy measurement | B testing | Context Management | Data Pipelines | Embeddings | Information Retrieval | Language Processing | Latency monitoring | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | RAG | Retrieval-Augmented Generation
Education
N/A
Roles
AI | AI Engineer | AI Platform Engineer | Applied AI Engineer | Engineer | Platform Engineer
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