Lead AI Engineer
EPRI Charlotte Office, United States
USD 145K-180K Senior-level Full Time
Tasks
- Architect AI search and document intelligence systems
- Configure hybrid search and ranking
- Deploy and manage AI services on Azure Kubernetes Service
- Develop query orchestration strategies
- Ensure security and export control compliance
- Evaluate retrieval using ndcg mrr precision at k
- Fine tune RAG applications
- Implement RAG based knowledge retrieval
- Integrate OCR and document parsing pipelines
- Integrate profile and product metadata APIs
- Monitor and troubleshoot AI workflows
- Optimize vector search with embeddings
Perks/Benefits
- 401k
- Dental insurance
- Life and accident insurance
- Long-term disability
- Medical insurance
- Paid family leave
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
AI Search | Azure AI | Azure AI Search | Azure Kubernetes | Azure Kubernetes Service | Azure OpenAI | BM25 | Cognitive Services | Document Classification | Document Intelligence | Embeddings | Entity Extraction | Hybrid search | Knowledge graphs | Kubernetes | Kubernetes Service | Langchain | NLP | Pillow | Prompt engineering | PyMuPDF | Python | Query Orchestration | Retrieval-Augmented Generation | Semantic Search | Tesseract OCR | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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