AI Platform Engineer, Applied AI
Tasks
- Analyze user interactions
- Build observability dashboards
- Collaborate with engineering teams to ensure reliability
- Design evaluation frameworks
- Diagnose performance issues
- Experiment with models architectures and agent configurations
- Implement chunking retrieval reranking strategies
- Monitor AI quality latency accuracy
- Optimize AI pipelines
- Prototype retrieval-augmented generation pipelines
- Stay current with AI tools frameworks and best practices
Perks/Benefits
- Autonomy
- Biannual company retreats
- Equity participation
- Fully remote
- Healthcare coverage
- Home office setup allowance
- Learning and development stipend
- Outcome-driven culture
- Paid time off
- Parental leave
- Performance based bonus opportunities
- Sabbatical opportunities
Skills/Tech-stack
A/B | A/B Testing | B testing | Context Management | Dashboards | Data Processing | Data Processing Pipelines | Embeddings | Information Retrieval | LLM | Latency monitoring | Model Experimentation | 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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