LLM Engineer
Tasks
- Build document ingestion pipelines
- Create structured knowledge generation
- Design metadata extraction processes
- Develop AI-enabled workflows
- Develop relationship extraction workflows
- Evaluate emerging AI technologies
- Implement retrieval workflows
- Implement semantic chunking strategies
- Integrate AI solutions with cloud services
- Integrate retrieval augmented generation systems
- Orchestrate LLM workflows
- Perform prompt engineering
Perks/Benefits
Skills/Tech-stack
AWS | Agile | Benchmarking | CrewAI | Document processing | Embedding Models | Knowledge graphs | LLM Evaluation | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Metadata Extraction | OCR | Prompt engineering | Python | Relationship Extraction | Retrieval-Augmented Generation | Secret Clearance | Semantic Kernel | Semantic Search | Semantic chunking | Vector Databases
Education
Bachelor of Artificial Intelligence | Bachelor of Computer Engineering | Bachelor of Computer Science | Bachelor of Data Science | Bachelor of Engineering | Bachelor of Information Systems | Bachelor of Science | Bachelor of Software Engineering
Roles
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