AI Platform Engineer, Applied AI
Tasks
- Analyze user interactions with AI features
- Collaborate with engineering teams to validate improvements
- Design and build AI evaluation frameworks
- Develop observability tools and dashboards
- Experiment with models architectures and agent configurations
- Improve retrieval chunking and re ranking strategies
- Investigate and diagnose AI pipeline performance issues
- Monitor AI system quality latency and accuracy
- Prototype and implement RAG pipelines
- Stay current with AI tools frameworks and best practices
Perks/Benefits
- Flexible location
- Fully remote
- Healthcare coverage
- Home office setup allowance
- International retreats
- Learning and development stipend
- Paid time off
- Parental leave
- Sabbatical opportunities
Skills/Tech-stack
A/B | A/B Testing | AIMonitoring | B testing | Dashboards | Data Analysis | Embeddings | Information Retrieval | Language Models | Language Processing | Large Language Models | Latency monitoring | Machine Learning | Natural Language | Natural Language Processing | Observability | Prompt design | Python | RAG | Re-ranking
Education
N/A
Roles
AI | AI Engineer | AI Platform Engineer | Applied AI Engineer | Engineer | Platform Engineer
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