Applied AI Engineer
Tasks
- Advise on GenAI architecture and model selection
- Build agentic assistants in lending systems
- Create automated content and deck generation workflows
- Design GenAI workflows for lending
- Design controls for entitlements and PII handling
- Develop document ingestion and data extraction
- Ensure GenAI production evaluation and reliability
- Implement LLMOps practices prompt management and audit monitoring
- Implement confidence scoring and human in the loop review
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | CCPA | Chunking | ColBERT | Data Governance | Entitlement management | Evaluation | Function Calling | GDPR | GenAI | Human-in-the-loop | Java | LLMOps | Metadata filtering | Monitoring | Multi-vector Retrieval | Observability | Orchestration | PII protection | Prompt engineering | Prompt versioning | Python | RAG | Re-ranking | Regression testing | Retrieval Re-ranking | Risk Assessment | Security Risk | Security risk assessment | Structured outputs | The Loop | Tool-Calling | Vector Databases | Vector Retrieval | Vector Search
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Full Stack | Full Stack Engineer
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