LLM Engineer
Tasks
- Apply semantic chunking
- Build document ingestion pipelines
- Develop AI-enabled workflows
- Develop prompt engineering workflows
- Evaluate emerging AI technologies
- Execute relationship extraction
- Generate structured knowledge
- Implement retrieval-augmented generation workflows
- Integrate AI solutions with cloud services
- Integrate knowledge management solutions
- Orchestrate LLM workflows
- Perform metadata extraction
- Support model performance benchmarking and optimization
Perks/Benefits
- Dependent care
- Disability insurance
- Health insurance
- Life insurance
- Paid leave
- Professional development
- Retirement benefits
- Tuition assistance
- Work-life programs
Skills/Tech-stack
AWS | Agile | Benchmarking | Chroma | CrewAI | Document processing | Embedding Models | Faiss | Graph Databases | Knowledge graphs | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Metadata Extraction | OCR | OpenSearch | Pinecone | Prompt engineering | Python | Relationship Extraction | Retrieval-Augmented Generation | Secret Clearance | Semantic Kernel | Semantic Search | Semantic chunking | Vector Databases | Weaviate
Education
Roles
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