Head of Applied AI Products
Tasks
- Build AI assisted research tools
- Build Retrieval Augmented Generation systems
- Build data analysis and integration systems
- Build entity resolution processes
- Define AI product architecture
- Design advanced analytics capabilities
- Design end-to-end AI pipelines
- Develop domain machine learning models
- Establish best practices for LLM reliability and observability
- Implement document ingestion
- Implement human-in-the-loop validation
- Implement information extraction
- Implement orchestration frameworks
- Implement tool calling
- Lead development of AI native applications
- Migrate experimental AI to production
- Normalize schemas into data schemas
- Own technical product roadmap
- Prototype core systems
- Review designs with engineering teams
- Translate AI capabilities into scalable architectures
Perks/Benefits
- N/A
Skills/Tech-stack
Analytics | Data Pipelines | Debugging | Document ingestion | Entity Resolution | Human-in-the-loop | Information Extraction | LLM | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | Observability | Orchestration | RAG | Retrieval-Augmented Generation | Schema normalization | Service Oriented | Service-Oriented Architecture | System design | The Loop | Tool-Calling
Education
N/A
Roles
AI | AI Product Manager | Head | Head of Applied AI | Head of Applied AI Products | Manager | Product Manager
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