Lead Search and AI Engineer
Tennessee Home Office, United States
USD 145K-175K Senior-level Full Time
Tasks
- Architect AI search and document intelligence solutions
- Collaborate with business and technical teams to refine solutions
- Deploy and manage AI applications on AKS
- Design and evaluate prompts with grounding and guardrails
- Develop query orchestration strategies
- Ensure compliance and secure document handling
- Evaluate search relevance using nDCG MRR precision at k
- Fine tune knowledge retrieval from documents
- Implement RAG-based applications
- Integrate APIs for indexing and search enrichment
- Integrate OCR and document processing tools
- Monitor troubleshoot and optimize AI workflows
- Optimize vector search embeddings and hybrid search
Perks/Benefits
- 401k
- Dental insurance
- Life 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 | Document Classification | Embeddings | Entity Extraction | Faiss | Hybrid search | Knowledge graphs | Kubernetes | Kubernetes Service | Langchain | NLP | Pillow | Pinecone | Prompt engineering | PyMuPDF | Python | Query Orchestration | Retrieval-Augmented Generation | Semantic Search | System monitoring | Tesseract OCR | Vector Search | Weaviate
Education
Roles
AI Engineer | Engineer | Lead | Lead AI Engineer | Lead Search Engineer | Search Engineer
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