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
- Diagnose AI pipeline performance issues
- Experiment with model architectures and agent configurations
- Monitor AI system quality latency accuracy
- Optimize chunking retrieval and reranking
- Prototype retrieval-augmented generation pipelines
- Stay current with AI tools and best practices
Perks/Benefits
- Equity participation
- Fully remote
- Healthcare coverage
- Home office setup allowance
- International retreats
- Learning and development stipend
- Paid time off
- Parental leave
- Performance-based bonus
- Sabbatical opportunities
Skills/Tech-stack
A/B | A/B Testing | B testing | Context Management | Dashboards | Data Analysis | Data Processing | Data Processing Pipelines | Embeddings | Information Retrieval | Language Models | Large Language Models | Latency optimization | Machine Learning | NLP | Observability | Processing pipelines | Prompt engineering | Python | Ranking | Recommendation Systems | Retrieval | Retrieval-Augmented Generation
Education
N/A
Roles
AI | AI Engineer | AI Platform Engineer | Applied AI Engineer | Engineer | Platform Engineer
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