Lead AI Artificial Intelligence Engineer

Request Technology - Chicago, IL

Full-time - Mid Level

Chicago, IL

Administrative and Support Services

About the position

The Lead Generative AI Engineer will be responsible for developing and implementing advanced legal AI solutions that enhance efficiency, improve decision-making, and provide valuable insights across various administrative business groups and legal practices. This role requires leveraging expertise in AI engineering, natural language processing, and machine learning to design, develop, and deploy innovative solutions that utilize both structured and unstructured data.

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 in Computer Science, Engineering, or related field
• 5+ years of experience in AI engineering or a related field
• Proven experience with AI engineering tools and technologies, including Python, Streamlit, Jupyter Notebooks, Langchain, LlamaIndex, and Semantic Kernel
• 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)
• Strong organizational, communication, and problem-solving skills, with the ability to work harmoniously and effectively with others
• Ability to preserve confidentiality and exercise discretion, with strong attention to detail and good judgment

Benefits

• Bonus eligibility