AI Platform Engineer, Applied AI
Tasks
- Analyze user interactions to improve AI features
- Collaborate with engineering teams to ensure reliability
- Design and build evaluation frameworks
- Develop observability dashboards
- Experiment with AI models architectures and agent configurations
- Investigate performance issues in AI pipelines
- Monitor AI system quality latency and accuracy
- Prototype RAG pipelines with chunking retrieval and re ranking
- Stay current with AI tools frameworks and best practices
Perks/Benefits
- Autonomy
- Flexible work location
- Fully remote
- Healthcare coverage
- Home office setup allowance
- International retreats
- Learning and development stipend
- Paid time off
- Parental leave
- Sabbatical
Skills/Tech-stack
A/B | A/B Testing | B testing | Context Management | Dashboards | Data Processing | Data Processing Pipelines | Embeddings | Information Retrieval | Language Processing | Latency monitoring | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Observability | Processing pipelines | 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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