Senior AI Engineer

Request Technology - Chicago, IL

Full-time

Chicago, IL

Administrative and Support Services

About the position

The AI Engineer position focuses on developing and implementing advanced AI solutions, particularly in natural language processing and information retrieval. The role requires a strong background in AI engineering tools and technologies, with an emphasis on prototyping, testing, and deploying AI applications in a hybrid work environment.

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

Requirements

• Bachelor's degree required; master's degree preferred
• 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 (eg, Microsoft Azure)