Analyst, AI Engineer
Tasks
- Build AI ready access to catalog data
- Build RAG and embeddings pipelines
- Capture retrieval feedback for improvement
- Create prompt workflows for AI assistants
- Document data mappings and test cases
- Evaluate and test large language models
- Implement semantic and keyword search
- Monitor workflows and troubleshoot failures
- Parse and structure documents
- Support Infor integration
- Test AI output grounding and accuracy
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Access Control | Auditability | Automation | Azure AI | Chatbots | Data Pipelines | Data Quality | Document processing | ERP | Embeddings | Git | JSON | Langchain | Langgraph | Language Models | Large Language Models | Microsoft Azure | Microsoft Azure AI | Microsoft Office | OpenAI APIs | Prompt engineering | Python | RAG | Responsible AI | Role-Based Access | Role-Based Access Control | SQL | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Engineer | Engineer
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