Analyst, AI Engineer
Tasks
- Build AI assistant capabilities
- Build AI ready data access
- Build RAG workflows
- Build embeddings and vector search
- Capture and organize user feedback
- Document data mappings and prompts
- Evaluate and test hosted models
- Evaluate and test open source models
- Implement keyword search
- Implement semantic search
- Implement structured search
- Ingest documents into pipelines
- Monitor workflows and troubleshoot defects
- Parse and structure documents
- Recommend improvements to retrieval quality
- Support Infor integration
- Test AI outputs for grounding and accuracy
Perks/Benefits
Skills/Tech-stack
API | Automation | Chatbot | Data pipeline | Document processing | ERP integration | Embeddings | Excel | Git | JSON | Language Models | Large Language Models | Microsoft Office | PDF Parsing | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Vector Database | Vector Search
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Engineer | Engineer | Software Engineer
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