5 years of experience in AI engineering at the enterprise level
Experience with AI engineering tools and technologies, including Python, Langchain, LlamaIndex, and Semantic Kernel
Strong understanding of large language models
Experience with natural language processing, text extraction, and information retrieval techniques
Strong understanding of machine learning and deep learning concepts including transformer based GPT models
Experience with distributed computing and cloud environments (e.g., Microsoft Azure)
Responsibilities
Prototype and test AI solutions using Python and Streamlit with a focus on natural language processing and text extraction from documents (PyPDF, Azure Document Intelligence)
Develop plugins and assistants using LangChain, LlamaIndex, or Semantic Kernel, with expertise in prompt engineering and semantic function design
Design and implement Retrieval Augmented Generation (RAG) stores using a combination of classic information retrieval and semantic embeddings stored in vector and graph databases
Develop and deploy agents using AutoGen, CrewAI, LangChain Agents, and LlamaIndex Agents
Use Gen AI to distill metadata and insights from documents
Fine tune LLMs to optimize for domain and cost
Collaborate with stakeholders to implement and automate AI powered solutions for common business workflows
Enhance documentation procedures, codebase, and adherence to best practices to promote and facilitate knowledge sharing and ensure the upkeep of an organized and reproducible working environment
Keep a pulse on the job market with advanced job matching technology.
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