Head of Applied AI & Products
Tasks
- Build Retrieval Augmented Generation systems
- Build data analysis and integration systems
- Build entity resolution for domain databases
- Define AI product architecture
- Design end to end AI data pipelines
- Develop AI research tools
- Develop domain machine learning models
- Establish LLM reliability observability practices
- Implement document ingestion and information extraction
- Implement human-in-the-loop validation
- Implement table understanding and schema normalization
- Implement tool calling and orchestration frameworks
- Lead development of AI native applications
- Own AI technical product roadmap
- Prototype core systems for feasibility
- Review designs with engineering teams
- Transition experimental AI to production systems
- Translate AI capabilities into scalable architectures
Perks/Benefits
- Community initiatives
- Learning and development opportunities
- Sustainability focused mission
- Volunteering opportunities
Skills/Tech-stack
Data Pipelines | Document processing | Entity Resolution | Human-in-the-loop | Information Extraction | LLM Observability | Language Models | Large Language Models | MLOps | Machine Learning | Orchestration | RAG | Retrieval-Augmented Generation | Schema normalization | Service Oriented | Service-Oriented Architecture | System design | Tool-Calling
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Head | Head of Applied AI | Learning Engineer | Machine Learning Engineer
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